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NVIDIA RTX A4 Mobile

NVIDIA graphics card specifications and benchmark scores

4 GB
VRAM
1770
MHz Boost
TDP
128
Bus Width
Ray Tracing Tensor Cores

At a Glance

NVIDIA
VRAM 4 GB
Boost Clock 1,770 MHz
Shaders 2,048
Bus Width 128-bit
Memory Type GDDR6
RT Cores 16
Architecture Ampere
nm
Process 8 nm
Released Apr 2021

NVIDIA RTX A4 Mobile Specifications

RTX A4 Mobile GPU Core

Shader units and compute resources

The NVIDIA RTX A4 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.

Shading Units
2,048
Shaders
2,048
TMUs
64
ROPs
32
SM Count
16

RTX A4 Mobile Clock Speeds

GPU and memory frequencies

Clock speeds directly impact the RTX A4 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 A4 Mobile by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.

Base Clock
1297 MHz
Base Clock
1,297 MHz
Boost Clock
1770 MHz
Boost Clock
1,770 MHz
Memory Clock
1750 MHz 14 Gbps effective
GDDR GDDR 6X 6X

NVIDIA's RTX A4 Mobile Memory

VRAM capacity and bandwidth

VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The RTX A4 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.

Memory Size
4 GB
VRAM
4,096 MB
Memory Type
GDDR6
VRAM Type
GDDR6
Memory Bus
128 bit
Bus Width
128-bit
Bandwidth
224.0 GB/s

RTX A4 Mobile by NVIDIA Cache

On-chip cache hierarchy

On-chip cache provides ultra-fast data access for the RTX A4 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.

L1 Cache
128 KB (per SM)
L2 Cache
2 MB

RTX A4 Mobile Theoretical Performance

Compute and fill rates

Theoretical performance metrics provide a baseline for comparing the NVIDIA RTX A4 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.

FP32 (Float)
7.250 TFLOPS
FP64 (Double)
113.3 GFLOPS (1:64)
FP16 (Half)
7.250 TFLOPS (1:1)
Pixel Rate
56.64 GPixel/s
Texture Rate
113.3 GTexel/s

RTX A4 Mobile Ray Tracing & AI

Hardware acceleration features

The NVIDIA RTX A4 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 A4 Mobile capable of delivering both stunning graphics and smooth frame rates in modern titles.

RT Cores
16
Tensor Cores
64

Ampere Architecture & Process

Manufacturing and design details

The NVIDIA RTX A4 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 A4 Mobile will perform in GPU benchmarks compared to previous generations.

Architecture
Ampere
GPU Name
GA107
Process Node
8 nm
Foundry
Samsung
Transistors
8,700 million
Die Size
200 mm²
Density
43.5M / mm²

NVIDIA's RTX A4 Mobile Power & Thermal

TDP and power requirements

Power specifications for the NVIDIA RTX A4 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 A4 Mobile to maintain boost clocks without throttling.

Power Connectors
None

RTX A4 Mobile by NVIDIA Physical & Connectivity

Dimensions and outputs

Physical dimensions of the NVIDIA RTX A4 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.

Slot Width
IGP
Bus Interface
PCIe 4.0 x8
Display Outputs
Portable Device Dependent
Display Outputs
Portable Device Dependent

NVIDIA API Support

Graphics and compute APIs

API support determines which games and applications can fully utilize the NVIDIA RTX A4 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.

DirectX
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
OpenGL
4.6
OpenGL
4.6
Vulkan
1.4
Vulkan
1.4
OpenCL
3.0
CUDA
8.6
Shader Model
6.8

RTX A4 Mobile Product Information

Release and pricing details

The NVIDIA RTX A4 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 A4 Mobile by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.

Manufacturer
NVIDIA
Release Date
Apr 2021
Production
End-of-life
Predecessor
Quadro Turing-M
Successor
Ada-MW

RTX A4 Mobile Benchmark Scores

No benchmark data available for this GPU.

About NVIDIA RTX A4 Mobile

The NVIDIA RTX A4 Mobile is an Ampere-generation mobile workstation GPU built for laptops and portable devices, utilizing the GA107 chip fabricated on Samsung's 8 nm process. With 8,700 million transistors packed into a 200 mm² die, the data shows a part designed for efficiency and portability rather than absolute top-tier performance. Its position at the 50th percentile of all GPUs in the benchmark database places it firmly in the mid-range of the performance spectrum.

Benchmark Performance

The RTX A4 Mobile's functional performance is defined by its 2,048 shading units, operating at a base clock of 1297 MHz and a boost clock of 1770 MHz. This configuration yields a peak FP32 throughput of 7.250 TFLOPS. In practical terms, this is a modest figure for a mobile workstation GPU, indicating a capability suited for entry-level professional tasks and 1080p-class workloads rather than compute-heavy rendering or high-resolution simulation.

The data indicates a balanced compute profile: the FP16 rate is also 7.250 TFLOPS (1:1), meaning there is no dedicated half-precision acceleration that would benefit AI inference or certain scientific workloads. This is a significant architectural note, unlike some Ampere variants that double FP16 throughput via tensor cores, the A4's raw FP16 and FP32 are identical, suggesting the tensor cores are the primary avenue for accelerated AI work. The texture fill rate stands at 113.3 GTexel/s, and the pixel rate is 56.64 GPixel/s, derived from 64 texture mapping units and 32 render output units. These figures are consistent with a 128-bit memory interface and a 4 GB GDDR6 frame buffer.

The memory subsystem delivers 224.0 GB/s of bandwidth, a figure constrained by the 128-bit bus and 1750 MHz memory clock (14 Gbps effective). For a GPU of this class, the bandwidth is adequate for 1080p gaming and light 3D modeling, but it will become a bottleneck in texture-heavy scenes or when working with large datasets. The 4 GB capacity is a notable limitation; modern professional applications and games often exceed this at higher settings, which will force reliance on lower resolutions or reduced texture quality.

Ray Tracing and Feature Set

The RTX A4 Mobile includes dedicated hardware for ray tracing and AI acceleration, a hallmark of the Ampere architecture. It is equipped with 16 RT cores and 64 tensor cores. The presence of these cores is a clear generational step over its Quadro Turing-M predecessor, enabling hardware-accelerated ray-traced effects in supported applications. However, given the GPU's overall throughput, the RT core count is low, suggesting that ray tracing performance will be functional but not a primary strength; users should expect playable frame rates only at lower resolutions and with reduced ray-tracing complexity.

On the API front, the GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The DirectX 12 Ultimate designation is crucial, as it guarantees support for features like DirectX Raytracing (DXR) and Variable Rate Shading, aligning with modern gaming and rendering standards. Vulkan 1.4 support further ensures compatibility with a wide range of cross-platform engines and applications. The 64 tensor cores provide the foundation for DLSS (Deep Learning Super Sampling) and similar AI-based upscaling technologies, which can partially offset the raw performance limitations in ray-traced titles.

The display output is listed as "Portable Device Dependent," meaning the connector and output capabilities are determined by the laptop manufacturer, not the GPU itself. The bus interface is PCIe 4.0 x8, which provides sufficient bandwidth for the 4 GB frame buffer without being a bottleneck, though it is half the lanes of a full x16 connection.

Who Should Consider It

Benchmark results position the RTX A4 Mobile as a solution for users whose primary workload is mainstream 1080p gaming or entry-level professional design. The 7.250 TFLOPS of FP32 compute and 224.0 GB/s memory bandwidth indicate that at 1080p with medium-to-high settings, the GPU can deliver smooth frame rates in most contemporary titles. Users targeting 1440p will need to adjust settings to medium or lower, and 4K is largely outside the capable envelope for this part, particularly with ray tracing enabled.

For professional use, the 4 GB VRAM is the defining constraint. It suits basic CAD, 2D drafting, and light 3D modeling, but it is insufficient for complex scenes, high-resolution textures, or large simulation datasets. The inclusion of 16 RT cores and 64 tensor cores adds future-proofing for software that increasingly leverages hardware-accelerated ray tracing and AI denoising, but the limited memory and raw compute will cap the complexity of those workloads. This is a GPU for the mobile professional who needs certified-driver stability and moderate acceleration, not for a compute node or a high-end rendering workstation.

Power and Cooling

The RTX A4 Mobile is configured as an IGP (Integrated Graphics Processor) with a slot width of "IGP," meaning it is designed to be soldered directly onto the motherboard rather than installed as a discrete card. Consequently, it has no power connectors and relies entirely on the host laptop's power delivery system. The data does not specify a TDP or a suggested PSU, which is typical for mobile parts where system-level power budgets are set by the OEM.

The absence of a TDP figure makes direct power consumption analysis impossible, but the architecture and clock speeds suggest a modest power draw, likely within the range of a thin-and-light workstation. The cooling solution is entirely dependent on the laptop chassis design; the GPU's thermal behavior cannot be assessed in isolation from the host system. Users should ensure their chosen laptop provides adequate cooling for sustained workloads, as the boost clock of 1770 MHz is only sustainable if thermal headroom is available.

How It Compares

The the benchmark database provides no direct nearest rivals for the RTX A4 Mobile, which is an uncommon situation in the database. This absence of comparative data means that an objective performance ranking against similar-generation mobile GPUs cannot be established from the available facts. However, the 50th percentile ranking across all GPUs gives a general reference point, indicating that half of all GPUs tested are faster and half are slower.

Without specific rival data, the analysis must rely on the internal characteristics of the RTX A4 Mobile itself. Its predecessor, the Quadro Turing-M, represents the prior generation; the A4's Ampere architecture brings dedicated RT and tensor cores, a clear feature advantage. Its successor, Ada-MW, would be expected to outperform it, but no scores are provided. Given the production status of "End-of-life" and a release date of April 2021, the RTX A4 Mobile is a legacy part. For users comparing systems, the data indicates that any modern mid-range or higher mobile GPU would likely offer superior raw performance, but the A4 retains relevance in the context of older, certified workstation laptops where driver stability and feature support for legacy applications are paramount.

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