AMD Radeon RX 7900M vs NVIDIA PG506-232 Comparison
AMD Radeon RX 7900M
PG506-232
PERFORMANCE BENCHMARKS
Analysis: AMD Radeon RX 7900M vs NVIDIA PG506-232
Head-to-Head Benchmarks
The head-to-head data is limited to a single shared benchmark, but that one result tells a decisive story. In Geekbench OpenCL, the NVIDIA PG506-232 scores 225,124, while the AMD Radeon RX 7900M scores 129,499. That gives NVIDIA a commanding 73.8% advantage, a margin that dwarfs most performance gaps between competing accelerators. The PG506-232 outperforms the RX 7900M by a factor of roughly 1.74 in this compute-oriented workload.
Context from the database reinforces the scale of this win. The PG506-232 sits in the 99th percentile of all GPUs, while the RX 7900M sits in the 94th percentile. That is a five-point gap in percentile ranking, which suggests the NVIDIA card belongs in a higher performance tier entirely. For comparison, the PG506-232's nearest rivals include the NVIDIA L20 with an average score of 251,147 (10.4% faster) and the AMD Radeon PRO W7900D at 219,827 (2.4% slower). The RX 7900M, by contrast, trades blows with much older workstation cards: its nearest rival is the AMD Radeon Pro VII at 97,131 (only 0.4% slower), and it sits 4.3% behind the NVIDIA Quadro RTX 6000 at 101,872.
The RX 7900M does have its own benchmark results in the database, but they are not directly comparable to the OpenCL test. It scores 4,201 in 3DMark Steel Nomad DX12 and 158,760 in Geekbench Vulkan. These show the card has real graphics capabilities, but they do not factor into the head-to-head comparison with the PG506-232, which has no DX12 or Vulkan results recorded.
Where Each One Wins
Based on the recorded data, the NVIDIA PG506-232 wins the only shared benchmark, and it wins decisively. The 73.8% delta in OpenCL performance indicates that for compute-heavy workloads, particularly those that rely on OpenCL acceleration, the PG506-232 is in a different league. Its 99th percentile rank across all GPUs reinforces that this is a top-tier compute part.
The AMD Radeon RX 7900M, despite losing the head-to-head, has strengths that the OpenCL result does not capture. Its 94th percentile rank is still high, and its separate benchmark scores show versatility: the Vulkan score of 158,760 is respectable, and the 3DMark Steel Nomad DX12 result of 4,201 confirms it can handle modern graphics workloads. The RX 7900M also carries a much higher FP32 throughput of 38.52 TFLOPS versus the PG506-232's 10.32 TFLOPS, which suggests it may excel in workloads that are not bottlenecked by OpenCL driver efficiency.
However, for any task where OpenCL is the primary interface, the data is unambiguous. The PG506-232 is the winner. The RX 7900M's only path to victory would be in scenarios outside the recorded benchmarks, such as gaming or specific Vulkan-optimized applications, but the database does not provide a head-to-head result for those.
FAQ
Q: Which GPU has the higher OpenCL benchmark score?
A: The NVIDIA PG506-232 scores 225,124, which is 73.8% higher than the AMD Radeon RX 7900M's 129,499.
Q: How do these cards rank among all GPUs in the database?
A: The PG506-232 is in the 99th percentile, while the RX 7900M is in the 94th percentile.
Q: What is the memory configuration difference?
A: The PG506-232 has 24 GB of HBM2 memory with a 3072-bit bus and 933.1 GB/s bandwidth. The RX 7900M has 16 GB of GDDR6 with a 256-bit bus and 576.0 GB/s bandwidth.
Q: Which card has a higher transistor count?
A: The RX 7900M has 57,700 million transistors, slightly more than the PG506-232's 54,200 million.
Q: Are there any other benchmark results for the RX 7900M?
A: Yes, it scores 4,201 in 3DMark Steel Nomad DX12 and 158,760 in Geekbench Vulkan. The PG506-232 has no results for those tests.
Q: What is the production status of each card?
A: The PG506-232 is end-of-life, while the RX 7900M is still active.
Specification Differences
The two cards differ in nearly every major specification category. The PG506-232 uses a 7 nm process, while the RX 7900M uses a 5 nm process. Both are fabricated by TSMC. The PG506-232 has a larger die at 826 mm² versus 529 mm² for the RX 7900M, but the RX 7900M has a higher transistor density at 109.1M per mm² compared to 65.6M per mm².
Clock speeds differ substantially. The PG506-232 has a base clock of 930 MHz and a boost clock of 1440 MHz. The RX 7900M starts at 1825 MHz base and boosts to 2090 MHz. Memory clocks also differ: the PG506-232 runs at 1215 MHz (2.4 Gbps effective), while the RX 7900M runs at 2250 MHz (18 Gbps effective).
Memory capacity and type diverge sharply. The PG506-232 offers 24 GB of HBM2 on a 3072-bit interface, delivering 933.1 GB/s of bandwidth. The RX 7900M offers 16 GB of GDDR6 on a 256-bit interface, delivering 576.0 GB/s. The PG506-232 has a higher thermal design power at 165 W versus 180 W for the RX 7900M, which is notable because the RX 7900M is a mobile-class part.
Compute unit counts also differ. The PG506-232 has 3584 shading units, 224 TMUs, 96 ROPs, and 224 tensor cores. The RX 7900M has 4608 shading units, 288 TMUs, 192 ROPs, and 72 ray tracing cores. The PG506-232 has no ray tracing cores, while the RX 7900M has no tensor cores.
Rates and throughput figures favor the RX 7900M in raw pixel and texture work. The RX 7900M achieves 401.3 GPixel/s and 601.9 GTexel/s, while the PG506-232 achieves 138.2 GPixel/s and 322.6 GTexel/s. FP32 throughput is 38.52 TFLOPS for the RX 7900M versus 10.32 TFLOPS for the PG506-232. FP16 performance is 77.05 TFLOPS for the RX 7900M versus 10.32 TFLOPS for the PG506-232.
Physical characteristics differ as well. The PG506-232 is a dual-slot card with an 8-pin EPS power connector and a suggested 450 W PSU. It measures 267 mm in length and 112 mm in height. The RX 7900M is an integrated graphics processor (IGP) with no power connectors and no recorded dimensions. Display outputs also differ: the PG506-232 has no outputs, while the RX 7900M's outputs are portable device dependent.
Architecture Differences
The NVIDIA PG506-232 is built on the Ampere architecture using the GA100 chip, designed for server workloads in the "Server Ampere" generation. The AMD Radeon RX 7900M uses the RDNA 3.0 architecture with the Navi 31 chip, codenamed Plum Bonito, and belongs to the Navi Mobile generation.
The process nodes differ: the PG506-232 uses TSMC's 7 nm node, while the RX 7900M uses TSMC's 5 nm node. This node advantage contributes to the RX 7900M's higher transistor density despite the smaller die.
Memory architecture is fundamentally different. The PG506-232 employs HBM2 stacked memory on a 3072-bit bus, which explains its massive bandwidth advantage. The RX 7900M uses conventional GDDR6 on a 256-bit bus, a more typical configuration for mobile graphics.
Compute feature sets diverge based on intended use. The PG506-232 includes 224 tensor cores, making it suitable for AI and machine learning workloads that leverage tensor operations. The RX 7900M includes 72 ray tracing cores, making it better suited for real-time graphics rendering with ray-traced effects. Neither card includes both types of accelerators.
API support also differs. The RX 7900M supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The PG506-232 has no recorded API support in the database, consistent with its server-oriented design that prioritizes compute over graphics.
Release timing shows a generational gap. The PG506-232 was released on April 11, 2021, while the RX 7900M was released on October 18, 2023. The PG506-232's predecessor is listed as Tesla Turing with a successor of Server Ada, while the RX 7900M's predecessor is Polaris Mobile with no successor recorded.
The Verdict
The database makes the choice clear for OpenCL-centric workloads: the NVIDIA PG506-232 is the superior performer. Its 73.8% lead in the only shared benchmark, combined with a 99th percentile ranking, demonstrates that it belongs in a higher performance class. Anyone running compute tasks that rely on OpenCL should select the PG506-232 without hesitation.
The AMD Radeon RX 7900M, despite its lower OpenCL score, has its own merits. Its 94th percentile rank is respectable, and its separate Vulkan and DX12 results show it is a capable graphics processor. The RX 7900M also offers higher raw FP32 and FP16 throughput, which could benefit applications that are not dependent on OpenCL driver implementation.
For gaming or graphics-heavy tasks, the RX 7900M is the only viable choice between the two, as the PG506-232 has no display outputs and no recorded graphics API support. But for compute performance, the PG506-232 wins the recorded head-to-head by a wide margin.
The production status also matters for long-term planning. The PG506-232 is end-of-life, while the RX 7900M is active. If longevity and ongoing support are priorities, the RX 7900M has the advantage. If raw compute performance is the sole criterion, the PG506-232 is the clear pick from the data.