GPU Comparison

The NVIDIA A10M and AMD Radeon RX 9070 GRE occupy the same performance tier in the database, with the A10M edging out a narrow 0.6% lead in the sole benchmark recorded. Both cards sit at the 97th percentile among all GPUs, placing them in the upper echelon of current hardware. The A10M, a server-class Ampere part, and the RX 9070 GRE, a consumer RDNA 4.0 card, approach this performance level from radically different design philosophies, making their head-to-head comparison a study in architectural trade-offs rather than a simple speed ranking.

Where Each One Wins

The benchmark data shows a clear, albeit narrow, victory for the NVIDIA A10M in the Geekbench OpenCL test, scoring 135230 against the RX 9070 GRE's 134417. This 0.6% delta is within run-to-run variance for many workloads, but the database records it as a definitive win for the A10M, giving it a 1-0 record in head-to-head comparisons. The A10M’s advantage here likely stems from its massive 28,300 million transistor count on a 628 mm² die, which provides substantial raw compute resources for OpenCL’s heterogeneous workloads.

The RX 9070 GRE, despite losing this specific test, demonstrates its strengths in other metrics that the single benchmark does not capture. Its 34.28 TFLOPS FP32 throughput is 46% higher than the A10M’s 23.44 TFLOPS, indicating superior raw shader math capability. The RDNA 4.0 card also doubles FP16 performance to 68.57 TFLOPS (2:1 ratio), whereas the A10M offers a 1:1 FP16-to-FP32 ratio at 23.44 TFLOPS. For workloads that leverage packed math, the RX 9070 GRE would likely pull ahead, but the OpenCL test does not reflect this advantage.

The A10M counters with a memory advantage: 20 GB of GDDR6 on a 320-bit bus delivers 500.2 GB/s of bandwidth, compared to the RX 9070 GRE’s 12 GB on a 192-bit bus at 432.0 GB/s. For large datasets that exceed 12 GB, the A10M’s capacity becomes a decisive factor, preventing out-of-memory failures that would stall the RX 9070 GRE entirely. In compute scenarios with memory footprints between 12 GB and 20 GB, the A10M wins by simply being able to run the job.

Architecture Differences

The two GPUs represent fundamentally different architectural generations and design goals. The NVIDIA A10M uses the GA102 chip on the Ampere architecture, built on Samsung’s 8 nm process. This is a server-focused design with 28,300 million transistors packed into a 628 mm² die, yielding a transistor density of 45.1 million per square millimeter. The A10M is a single-slot card with no display outputs, designed for rack-mounted compute servers, and uses an 8-pin EPS power connector with a 150 W TDP.

In contrast, the AMD Radeon RX 9070 GRE uses the Navi 48 chip on the RDNA 4.0 architecture, fabricated on TSMC’s 4 nm process. This newer node allows AMD to fit 53,900 million transistors into a smaller 357 mm² die, achieving a much higher density of 151.0 million per square millimeter. The RX 9070 GRE is a dual-slot consumer card with full display outputs (1x HDMI 2.1b and 3x DisplayPort 2.1a), powered by two 8-pin connectors with a 220 W TDP.

Core configuration differs dramatically. The A10M fields 7168 shading units, 224 TMUs, and 80 ROPs, alongside 56 RT cores and 224 tensor cores. The RX 9070 GRE has fewer shading units at 3072, but more ROPs at 96, and 192 TMUs. It includes 48 RT cores but no tensor cores, reflecting AMD’s focus on rasterization and ray tracing without dedicated AI acceleration hardware. Clock speeds tell a similar story: the A10M runs at a modest 975 MHz base and 1635 MHz boost, while the RX 9070 GRE boosts to 2790 MHz from a 1420 MHz base, with a 2220 MHz game clock.

Memory subsystems diverge in both capacity and bandwidth. The A10M’s 20 GB GDDR6 at 1563 MHz (12.5 Gbps effective) provides 500.2 GB/s across a 320-bit interface. The RX 9070 GRE’s 12 GB GDDR6 runs at 2250 MHz (18 Gbps effective) but on a narrower 192-bit bus, yielding 432.0 GB/s. Pixel and texture rates favor the AMD card: 267.8 GPixel/s and 535.7 GTexel/s versus the A10M’s 130.8 GPixel/s and 366.2 GTexel/s, respectively.

Head-to-Head Benchmarks

The only recorded head-to-head benchmark is Geekbench OpenCL, where the NVIDIA A10M scores 135230 against the AMD Radeon RX 9070 GRE’s 134417. The 0.6% delta places the A10M ahead, but the margin is razor-thin, only 813 points separate the two. For context, the nearest rival for both cards is the NVIDIA RTX 4000 Ada Generation, which scores 135218, virtually identical to the A10M. The RX 9070 GRE trails both NVIDIA cards by the same 0.6% margin.

Looking at the broader rival set, the A10M leads the AMD Radeon PRO W6800 (133588) by 1.2% and the NVIDIA GeForce RTX 3090 Ti (131911) by 2.5%. The RX 9070 GRE shows a similar pattern: it leads the PRO W6800 by 0.6% and the RTX 3090 Ti by 1.9%. This clustering suggests that all four GPUs perform within a narrow 2.5% band in OpenCL, with the A10M and RX 9070 GRE effectively tied at the top.

The A10M’s win is notable given its significantly lower clock speeds and older architecture. Its 23.44 TFLOPS FP32 is 32% lower than the RX 9070 GRE’s 34.28 TFLOPS, yet the A10M still manages to edge out a win in this test. This indicates that the A10M’s larger memory bandwidth (500.2 GB/s vs 432.0 GB/s) and higher shading unit count (7168 vs 3072) compensate for its clock deficit in OpenCL workloads. The RX 9070 GRE’s higher pixel rate (267.8 GPixel/s) and texture rate (535.7 GTexel/s) do not translate into an OpenCL advantage, suggesting that the benchmark is more sensitive to memory bandwidth and raw ALU count than to fillrate.

The Verdict

From the data, the NVIDIA A10M is the safer choice for compute workloads that fit within its 20 GB memory pool. Its 0.6% lead in Geekbench OpenCL, combined with 500.2 GB/s bandwidth and 7168 shading units, makes it a robust performer for server-side inference and data processing. The 97th percentile ranking confirms its high-end status, and the single-slot design with 150 W TDP allows dense server deployment. The end-of-life production status is a concern, but the architecture remains competitive.

The AMD Radeon RX 9070 GRE is the better pick for client-side workloads where display output matters and where FP16 throughput is critical. Its 68.57 TFLOPS FP16 (2:1 ratio) is triple the A10M’s 23.44 TFLOPS, making it substantially faster for AI inference and machine learning tasks that use half precision. The 4 nm process yields higher efficiency per transistor, and the active production status ensures ongoing availability. The 12 GB memory limit is the primary constraint, but for workloads under that threshold, the RX 9070 GRE’s higher clocks (2790 MHz boost) and pixel rate (267.8 GPixel/s) provide a snappier experience.

The A10M wins on memory capacity and OpenCL benchmark score; the RX 9070 GRE wins on raw FP32/FP16 throughput and fillrate. Neither card dominates the other across all metrics. For server racks with no display needs, the A10M’s 20 GB and single-slot form factor are decisive. For workstations or gaming-adjacent compute with FP16 requirements, the RX 9070 GRE’s dual-slot design and display outputs are more practical. The 0.6% benchmark delta is statistically insignificant, so the choice hinges on workload characteristics rather than raw speed.

FAQ

Q: Which GPU has a higher benchmark score in Geekbench OpenCL?

A: The NVIDIA A10M scores 135230, which is 0.6% higher than the AMD Radeon RX 9070 GRE’s 134417.

Q: How much memory does each card have, and does it matter?

A: The NVIDIA A10M has 20 GB GDDR6 on a 320-bit bus, while the AMD Radeon RX 9070 GRE has 12 GB GDDR6 on a 192-bit bus. The A10M’s larger capacity is critical for workloads exceeding 12 GB, as the RX 9070 GRE would fail to run them.

Q: What is the FP32 performance difference between the two?

A: The AMD Radeon RX 9070 GRE delivers 34.28 TFLOPS FP32, which is 46% higher than the NVIDIA A10M’s 23.44 TFLOPS. However, this does not translate to a benchmark win for the RX 9070 GRE in OpenCL.

Q: Are these cards in the same performance percentile?

A: Yes, both the NVIDIA A10M and AMD Radeon RX 9070 GRE rank at the 97th percentile among all GPUs, placing them in the top tier of performance.

Q: What are the power and cooling requirements?

A: The NVIDIA A10M has a 150 W TDP with a single-slot cooler and an 8-pin EPS connector, suggesting a 450 W PSU. The AMD Radeon RX 9070 GRE has a 220 W TDP, dual-slot cooler, two 8-pin connectors, and suggests a 550 W PSU.

Q: Which card supports display outputs?

A: The AMD Radeon RX 9070 GRE has 1x HDMI 2.1b and 3x DisplayPort 2.1a outputs. The NVIDIA A10M has no display outputs, making it unsuitable for direct monitor connection.