NVIDIA RTX A1000 Mobile
NVIDIA graphics card specifications and benchmark scores
Ray Tracing
Tensor CoresAt a Glance
NVIDIANVIDIA RTX A1000 Mobile Specifications
GPU Core
Shader units and compute resources
The NVIDIA RTX A1000 Mobile GPU core specifications define its raw processing power for graphics and compute workloads. Shading units (also called CUDA cores, stream processors, or execution units depending on manufacturer) handle the parallel calculations required for rendering. TMUs (Texture Mapping Units) process texture data, while ROPs (Render Output Units) handle final pixel output. Higher shader counts generally translate to better GPU benchmark performance, especially in demanding games and 3D applications.
RTX A1000 Mobile Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the RTX A1000 Mobile's performance in GPU benchmarks and real-world gaming. The base clock represents the minimum guaranteed frequency, while the boost clock indicates peak performance under optimal thermal conditions. Memory clock speed affects texture loading and frame buffer operations. The RTX A1000 Mobile by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's RTX A1000 Mobile Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The RTX A1000 Mobile's memory capacity determines how well it handles high-resolution textures and multiple displays. Memory bandwidth, measured in GB/s, affects how quickly data moves between the GPU and VRAM. Higher bandwidth improves performance in memory-intensive scenarios like 4K gaming. The memory bus width and type (GDDR6, GDDR6X, HBM) significantly influence overall GPU benchmark scores.
RTX A1000 Mobile by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the RTX A1000 Mobile, reducing the need to fetch data from slower VRAM. L1 and L2 caches store frequently accessed data close to the compute units. AMD's Infinity Cache (L3) dramatically increases effective bandwidth, improving GPU benchmark performance without requiring wider memory buses. Larger cache sizes help maintain high frame rates in memory-bound scenarios and reduce power consumption by minimizing VRAM accesses.
RTX A1000 Mobile Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA RTX A1000 Mobile against other graphics cards. FP32 (single-precision) performance, measured in TFLOPS, indicates compute capability for gaming and general GPU workloads. FP64 (double-precision) matters for scientific computing. Pixel and texture fill rates determine how quickly the GPU can render complex scenes. While real-world GPU benchmark results depend on many factors, these specifications help predict relative performance levels.
RTX A1000 Mobile Ray Tracing & AI
Hardware acceleration features
The NVIDIA RTX A1000 Mobile includes dedicated hardware for ray tracing and AI acceleration. RT cores handle real-time ray tracing calculations for realistic lighting, reflections, and shadows in supported games. Tensor cores (NVIDIA) or XMX cores (Intel) accelerate AI workloads including DLSS, FSR, and XeSS upscaling technologies. These features enable higher visual quality without proportional performance costs, making the RTX A1000 Mobile capable of delivering both stunning graphics and smooth frame rates in modern titles.
Ampere Architecture & Process
Manufacturing and design details
The NVIDIA RTX A1000 Mobile is built on NVIDIA's Ampere architecture, which defines how the GPU processes graphics and compute workloads. The manufacturing process node affects power efficiency, thermal characteristics, and maximum clock speeds. Smaller process nodes pack more transistors into the same die area, enabling higher performance per watt. Understanding the architecture helps predict how the RTX A1000 Mobile will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA RTX A1000 Mobile determine PSU requirements and thermal management needs. TDP (Thermal Design Power) indicates the heat output under typical loads, guiding cooler selection. Power connector requirements ensure adequate power delivery for stable operation during demanding GPU benchmarks. The suggested PSU wattage accounts for the entire system, not just the graphics card. Efficient power delivery enables the RTX A1000 Mobile to maintain boost clocks without throttling.
RTX A1000 Mobile by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA RTX A1000 Mobile are critical for case compatibility. Card length, height, and slot width determine whether it fits in your chassis. The PCIe interface version affects bandwidth for communication with the CPU. Display outputs define monitor connectivity options, with modern cards supporting multiple high-resolution displays simultaneously. Verify these specifications against your case and motherboard before purchasing to ensure a proper fit.
NVIDIA API Support
Graphics and compute APIs
API support determines which games and applications can fully utilize the NVIDIA RTX A1000 Mobile. DirectX 12 Ultimate enables advanced features like ray tracing and variable rate shading. Vulkan provides cross-platform graphics capabilities with low-level hardware access. OpenGL remains important for professional applications and older games. CUDA (NVIDIA) and OpenCL enable GPU compute for video editing, 3D rendering, and scientific applications. Higher API versions unlock newer graphical features in GPU benchmarks and games.
RTX A1000 Mobile Product Information
Release and pricing details
The NVIDIA RTX A1000 Mobile is manufactured by NVIDIA as part of their graphics card lineup. Release date and launch pricing provide context for comparing GPU benchmark results with competing products from the same era. Understanding the product lifecycle helps evaluate whether the RTX A1000 Mobile by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
About NVIDIA RTX A1000 Mobile
NVIDIA’s RTX A1000 Mobile is an end-of-life Ampere-generation part built on the GA107 chip using Samsung’s 8 nm process, packing 2,048 shading units, 64 tensor cores, and 16 ray tracing cores. With a 60 W TDP and an IGP slot width, it targets professional mobile workstations rather than gaming flagships. Its average benchmark score of 47,743 places it in the 86th percentile of all GPUs, a strong showing for a low-power mobile part.
Benchmark Performance
The RTX A1000 Mobile’s average benchmark score of 47,743 is derived from two tests: 48,703 in Geekbench OpenCL and 46,782 in Geekbench Vulkan. The OpenCL result is notably higher, suggesting the driver and hardware configuration favor compute workloads over graphics API tasks. The Vulkan score trails by roughly 4%, a modest gap that indicates the architecture handles both APIs competently but with a slight edge in OpenCL throughput.
Against its nearest rivals, the A1000 Mobile sits in a tightly contested mid-pack. It trails the NVIDIA RTX A2000 by just 0.4%, with the A2000 averaging 47,915. This is effectively a statistical tie — the 172-point difference is within run-to-run variance for most benchmark suites. The A1000 Mobile also lags the GeForce RTX 4070 Ti SUPER by 2%, as that card posts an average score of 48,704. While the 4070 Ti SUPER is a desktop-class part with far higher power delivery, the A1000 Mobile’s deficit of 961 points is surprisingly small given the form-factor and thermal constraints.
The A1000 Mobile turns the tables on its lower-ranked rivals. It beats the Intel Arc A530M by 2.4%, with the Intel part scoring 46,614. The 1,129-point margin is decisive and reflects the A1000 Mobile’s more mature driver stack and higher raw shading throughput. Against the AMD Radeon RX 6550M, the lead expands to 2.6%, with the AMD card averaging 46,531. A 1,212-point gap places the A1000 Mobile firmly ahead of both competitors in synthetic compute benchmarks.
Interpreting these scores, the A1000 Mobile delivers performance that punches above its 60 W envelope. The fp32 compute rate of 4.669 TFLOPS aligns with the benchmark results, showing that the GPU sustains near-peak throughput in real workloads. The texture rate of 72.96 GTexel/s and pixel rate of 36.48 GPixel/s further corroborate a part designed for balanced professional tasks rather than extreme rasterization.
Ray Tracing and Feature Set
The RTX A1000 Mobile includes 16 ray tracing cores and 64 tensor cores, bringing Ampere’s dedicated hardware acceleration to a mobile workstation segment. These ray tracing cores enable hardware-accelerated RT effects, while the tensor cores handle AI-accelerated features like DLSS and neural network inference. The presence of both core types is significant for a 60 W part, as it allows professional applications to leverage RT and AI workloads without falling back to compute shaders.
API support is comprehensive for the era: DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4 are all listed. DirectX 12 Ultimate support means the GPU meets the feature set for hardware ray tracing, variable rate shading, and mesh shaders in supported titles. Vulkan 1.4 support provides a modern cross-platform API path, while OpenGL 4.6 covers legacy professional applications. Memory is 4 GB of GDDR6 on a 128-bit bus, yielding 176.0 GB/s of bandwidth — modest but sufficient for the target resolution and workload profile.
The tensor cores operate in a 1:1 ratio with fp32 units, meaning fp16 throughput matches fp32 at 4.669 TFLOPS. This is a deliberate design choice for Ampere, prioritizing compute flexibility over mixed-precision speed. For AI inference tasks that rely on fp16, the performance is identical to fp32, which simplifies performance prediction across different workload types.
How It Compares
NVIDIA RTX A2000: The A2000 is essentially a sibling part, edging out the A1000 Mobile by 0.4% in average score. Both cards share the Ampere architecture and similar specifications, but the A2000’s slightly higher average of 47,915 suggests marginally better sustained clocks or thermal headroom. In practice, the 172-point difference is negligible — users will not perceive a performance gap in real applications.
NVIDIA GeForce RTX 4070 Ti SUPER: This desktop GPU leads the A1000 Mobile by 2%, scoring 48,704 on average. The delta is small in percentage terms, but the 4070 Ti SUPER operates at a far higher power budget and targets a completely different market segment. The A1000 Mobile’s ability to stay within 2% of a top-tier desktop part in synthetic compute reflects the efficiency of the GA107 chip at low power.
Intel Arc A530M: The A1000 Mobile outperforms the Arc A530M by 2.4%, with the Intel part averaging 46,614. This margin reflects the A1000 Mobile’s mature drivers and higher fp32 throughput. The Intel GPU has its own architectural strengths, but in this benchmark suite, the A1000 Mobile holds a clear advantage of 1,129 points.
AMD Radeon RX 6550M: The AMD rival trails by 2.6%, scoring 46,531 on average. The A1000 Mobile’s lead of 1,212 points is the largest among its nearest rivals, indicating a consistent edge in both OpenCL and Vulkan workloads. For professional users comparing mobile GPUs, this margin could translate into meaningful time savings in render or compute tasks.
Who Should Consider It
Based on the benchmark data, the RTX A1000 Mobile is best suited for professionals who prioritize compute performance over raw gaming framerates. Its 86th percentile ranking among all GPUs means it outperforms the vast majority of graphics cards ever benchmarked, including many desktop parts. The 4 GB GDDR6 memory and 176.0 GB/s bandwidth are adequate for 1080p professional workloads, but users targeting 4K rendering or large datasets should look elsewhere — the memory capacity will become a bottleneck before the compute units do.
For 1080p and 1440p tasks, the A1000 Mobile delivers strong performance in OpenCL-heavy applications like video encoding, physics simulation, and AI inference. The Vulkan score of 46,782 suggests it can also handle modern game engines at medium settings, though the 4 GB frame buffer limits texture quality and resolution. Users running multi-monitor setups or high-refresh-rate displays may find the 36.48 GPixel/s pixel rate constraining.
The 60 W TDP makes this GPU ideal for thin-and-light workstations where thermal headroom is scarce. It outperforms both the Intel Arc A530M and AMD Radeon RX 6550M by over 2%, making it the strongest choice in its power class. However, the end-of-life production status means buyers should verify availability and driver support before committing.
FAQ
Q: How does the RTX A1000 Mobile compare to the RTX A2000 in benchmark scores?
A: The A1000 Mobile averages 47,743, just 0.4% below the RTX A2000’s 47,915. The 172-point gap is within normal benchmark variance, making the two effectively equivalent in performance.
Q: What is the memory configuration of the RTX A1000 Mobile?
A: It has 4 GB of GDDR6 memory on a 128-bit bus, providing 176.0 GB/s of bandwidth. The memory clock is 1375 MHz, with 11 Gbps effective data rate.
Q: Does the RTX A1000 Mobile support hardware ray tracing?
A: Yes, it includes 16 ray tracing cores, along with 64 tensor cores for AI acceleration. It supports DirectX 12 Ultimate (12_2), which mandates hardware ray tracing capabilities.
Q: What is the performance difference between the RTX A1000 Mobile and the GeForce RTX 4070 Ti SUPER?
A: The 4070 Ti SUPER scores 48,704 on average, which is 2% higher than the A1000 Mobile’s 47,743. Despite being a desktop-class GPU with much higher power draw, the lead is only 961 points.
Q: Is the RTX A1000 Mobile better than the AMD Radeon RX 6550M?
A: Yes, the A1000 Mobile leads by 2.6%, with average scores of 47,743 versus 46,531 for the RX 6550M. The margin of 1,212 points is the largest among its nearest rivals.
Q: What APIs does the RTX A1000 Mobile support?
A: It supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. This covers modern gaming APIs and legacy professional applications.
Detailed benchmark scores and charts for the NVIDIA RTX A1000 Mobile are below.
Benchmark Scores
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA RTX A1000 Mobile handles parallel computing tasks like video encoding and scientific simulations. OpenCL is widely supported across different GPU vendors and platforms. Higher scores benefit applications that leverage GPU acceleration for non-graphics workloads.
Top 5 Performers
Top 5 PerformersNearby Performers
Nearby Performersgeekbench_vulkanSource
Geekbench Vulkan tests GPU compute using the modern low-overhead Vulkan API. This shows how NVIDIA RTX A1000 Mobile performs with next-generation graphics and compute workloads.
Top 5 Performers
Nearby Performers
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