NVIDIA RTX A4500 Embedded
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA RTX A4500 Embedded Specifications
GPU Core
Shader units and compute resources
The NVIDIA RTX A4500 Embedded 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 A4500 Embedded Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the RTX A4500 Embedded'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 A4500 Embedded by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's RTX A4500 Embedded Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The RTX A4500 Embedded'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 A4500 Embedded by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the RTX A4500 Embedded, 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 A4500 Embedded Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA RTX A4500 Embedded 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 A4500 Embedded Ray Tracing & AI
Hardware acceleration features
The NVIDIA RTX A4500 Embedded 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 A4500 Embedded capable of delivering both stunning graphics and smooth frame rates in modern titles.
Ampere Architecture & Process
Manufacturing and design details
The NVIDIA RTX A4500 Embedded 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 A4500 Embedded will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA RTX A4500 Embedded 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 A4500 Embedded to maintain boost clocks without throttling.
RTX A4500 Embedded by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA RTX A4500 Embedded 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 A4500 Embedded. 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 A4500 Embedded Product Information
Release and pricing details
The NVIDIA RTX A4500 Embedded 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 A4500 Embedded 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 A4500 Embedded
The NVIDIA RTX A4500 Embedded is an Ampere-generation GPU built around the GA104 chip. The data lists the architecture as Ampere, the generation as Ampere-MW (Ax000), and the foundry process as Samsung 8 nm. The die contains 17,400 million transistors on a 392 mm² die, for a transistor density of 44.4M per mm². Released on 2022-03-29, it is now end-of-life; its predecessor is Quadro Turing-M and its successor is Ada-MW. The slot width is MXM Module, the bus interface is PCIe 4.0 x16, and display outputs are Portable Device Dependent.
Benchmark Performance
No individual benchmark entries appear in the record. The benchmarks array is empty, and the nearestRivals array is empty, so there are no rival scores or deltaPct percentages to report. The only two aggregate numbers are percentileVsAllGpus of 50 and avgBenchmarkScore of 0. A 50th percentile placement puts the GPU at the median of all GPUs in the database; an average benchmark score of 0 reflects the absence of accumulated benchmark rows, not a measured zero-performance result.
Without benchmark data, compute and fill-rate specifications become the basis for evaluation. The GPU has 5888 shading units, 184 texture mapping units, and 96 ROPs. The base clock is 510 MHz and the boost clock is 1215 MHz. Those settings produce an FP32 throughput of 14.31 TFLOPS and an FP16 throughput of 14.31 TFLOPS, with the pack noting FP16 runs at a 1:1 ratio to FP32. The pixel rate is 116.6 GPixel/s and the texture rate is 223.6 GTexel/s.
Ray tracing and tensor acceleration are present through 46 RT cores and 184 tensor cores. API support includes DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. These are the software interfaces available to invoke the hardware, although their presence does not by itself establish application-level performance. Because no benchmark scores are recorded, no exact percentage deltas to rivals can be stated. The 50th percentile is the only distribution-based measure, and it positions this part in the middle of the database rather than at the top.
Who Should Consider It
The data does not support settings-specific game guidance, because the benchmark score table is empty. What the record does support is a capacity-oriented recommendation. The memory subsystem is 16 GB of GDDR6, a frame-buffer size that points to large textures, high-resolution scenes, and datasets that need more memory than a compact GPU usually carries. The 256-bit bus and 384.0 GB/s bandwidth are the figures governing memory throughput; the 12 Gbps effective signaling is achieved from a 1500 MHz memory clock.
At the 50th percentile, this is not a GPU that the data places in a leadership tier. It is a median-positioned part with a 16 GB frame buffer and an 80 W TDP. That combination is meaningful for a portable or embedded MXM system where power and board space are constrained but memory capacity cannot be sacrificed. Because display outputs are Portable Device Dependent, this is not a standalone add-in card for a desktop chassis; the host portable device supplies the display connectivity and practical cooling environment. Anyone choosing this part should therefore weigh the host integration requirements before relying on the GPU’s output capabilities.
Without benchmark scores, specific resolution and settings recommendations cannot be quantified. The data only shows that the GPU sits at the median percentile and carries 16 GB of GDDR6 memory; those two facts should anchor any expectation. The 80 W TDP and MXM Module form factor further suggest a design target of power-conscious professional systems rather than high-frame-rate consumer builds, though the data does not explicitly state that distinction.
Memory Subsystem
The memory subsystem consists of 16 GB of GDDR6 on a 256-bit bus. The memory clock is 1500 MHz, with the pack describing the effective signaling as 12 Gbps. The resulting bandwidth is 384.0 GB/s. These are the memory figures in the record: 16 GB capacity, GDDR6 type, 256-bit bus width, 384.0 GB/s bandwidth, 1500 MHz clock, and 12 Gbps effective signaling.
Memory capacity and bandwidth serve different purposes. The 16 GB capacity defines how much data can remain local to the GPU. The 384.0 GB/s bandwidth defines how quickly that data can move. For high-resolution work, both figures are relevant: capacity determines how much frame-buffer-resident data can fit, while bandwidth feeds the 184 texture mapping units, 96 ROPs, and 184 tensor cores with data. The 256-bit bus width is the interface between the GPU and its video memory; combined with the 12 Gbps effective rate, it produces the 384.0 GB/s number.
The memory type GDDR6 is the only memory generation listed, and the 1500 MHz clock is the clock value in the record. The data does not provide any overclocking figures or alternative memory configurations. For users comparing memory subsystems, the relevant package is therefore 16 GB GDDR6 on a 256-bit bus at 384.0 GB/s, with 12 Gbps effective signaling from a 1500 MHz memory clock.
How It Compares
The nearestRivals array is empty. There are no rival names, no rival scores, and no deltaPct values in the fact pack, so a rival-by-rival comparison cannot be compiled from the supplied data. Consequently, there are no per-rival paragraphs to write. The only comparative marker available is the 50th percentile against all GPUs. That is a distribution-level position rather than a head-to-head result.
The product’s own lineage is documented. The predecessor is Quadro Turing-M and the successor is Ada-MW, with the RTX A4500 Embedded released in between on 2022-03-29 and now marked end-of-life. The GA104 chip and Ampere architecture define the GPU internally, but the benchmark database does not provide a competitive map. The end-of-life status means the product is not in active production, according to the productionStatus field.
The absence of rival entries also affects the benchmark section. Since no deltaPct figures are present, the database does not quantify how much faster or slower this part is than any named competitor. The 0 average benchmark score further means there is no accumulated score to rank against other records. The 50th percentile remains the only numeric comparison point in the data.
Power and Cooling
The RTX A4500 Embedded has a TDP of 80 W. The slot width is MXM Module, and the powerConnectors field is None, so the record includes no auxiliary PCIe power connectors. The suggestedPsu field is null, so no PSU wattage recommendation is present in the data.
An 80 W TDP is the only thermal figure in the pack. It places the module in a low-power bracket relative to a large add-in card, but no comparison bracket is given. The cooling solution is not specified in the record; display outputs are Portable Device Dependent, and the host device determines how the module is integrated. The MXM Module slot width and the absence of listed power connectors indicate that power delivery is handled through the module interface rather than through separate cables, though the data does not explicitly describe that path.
The bus interface is PCIe 4.0 x16, and the module’s physical integration is through the MXM slot. With no power connectors listed, the MXM connector itself is the implied path for power delivery according to the data. The absence of a suggested PSU is consistent with the product being an embedded module rather than a retail desktop graphics card. The 80 W TDP, none power connector field, and Portable Device Dependent display outputs all point to a design where the host system provides the power, cooling, and display environment.
Detailed benchmark scores and charts for the NVIDIA RTX A4500 Embedded are below.
Benchmark Scores
No benchmark data available for this GPU.
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