AMD Radeon RX 7900M vs NVIDIA GB10 Comparison
AMD Radeon RX 7900M
GB10
PERFORMANCE BENCHMARKS
Analysis: AMD Radeon RX 7900M vs NVIDIA GB10
FAQ
Q: Which GPU wins the Geekbench Vulkan benchmark?
A: The AMD Radeon RX 7900M wins decisively, scoring 158,760 versus the NVIDIA GB10’s 114,648. That is a 27.8% advantage for AMD in this test.
Q: How much faster is the AMD Radeon RX 7900M in OpenCL?
A: The AMD card scores 129,499, while the NVIDIA GB10 scores 120,137. The difference is 7.2%, with AMD taking the win in this compute workload.
Q: What is the memory capacity of each GPU?
A: The NVIDIA GB10 has 128 GB of LPDDR5X memory, while the AMD Radeon RX 7900M has 16 GB of GDDR6 memory. The GB10’s capacity is eight times larger.
Q: Which GPU has a higher memory bandwidth?
A: The AMD Radeon RX 7900M offers 576.0 GB/s of bandwidth, more than double the NVIDIA GB10’s 273.2 GB/s, despite the GB10’s larger memory pool.
Q: What are the transistor counts for these two chips?
A: The AMD Radeon RX 7900M uses the Navi 31 chip with 57,700 million transistors, while the NVIDIA GB10’s transistor count is listed as unknown. The GB10’s die size is 382 mm² versus 529 mm² for the AMD chip.
Q: Which GPU has a higher peak FP32 performance?
A: The AMD Radeon RX 7900M reaches 38.52 TFLOPS, while the NVIDIA GB10 delivers 29.71 TFLOPS. This gives AMD a 29.7% lead in raw single-precision compute.
Architecture Differences
The NVIDIA GB10 is built on the Blackwell 2.0 architecture, using the GB20B chip, and is part of the Server Blackwell (Bxx) generation. The AMD Radeon RX 7900M is based on RDNA 3.0, using the Navi 31 chip with the codename Plum Bonito, and belongs to the Navi Mobile (RX 7000M) generation. Both are fabricated on a 5 nm process at TSMC, but the similarities end there.
The GB10 features 6,144 shading units, 384 TMUs, 48 ROPs, 48 RT cores, and 384 tensor cores. The RX 7900M has 4,608 shading units, 288 TMUs, 192 ROPs, and 72 RT cores, but no tensor cores listed. The NVIDIA chip’s tensor core count of 384 is a major architectural differentiator, aimed at AI and server workloads. The AMD chip’s RDNA 3.0 design doubles FP16 throughput at a 2:1 ratio (77.05 TFLOPS) versus the GB10’s 1:1 FP16 ratio (29.71 TFLOPS), indicating a different compute philosophy.
Memory architecture also diverges sharply. The GB10 uses 128 GB of LPDDR5X on a 256-bit bus, yielding 273.2 GB/s. The RX 7900M uses 16 GB of GDDR6 on a 256-bit bus, achieving 576.0 GB/s. The GB10’s memory clock is 1067 MHz (8.5 Gbps effective), while the AMD chip runs at 2250 MHz (18 Gbps effective). Die size differs: 382 mm² for NVIDIA versus 529 mm² for AMD, with the latter’s transistor density calculated at 109.1M per mm².
The GB10 supports PCIe 5.0 x16, whereas the RX 7900M uses PCIe 4.0 x16. API support also differs: the GB10 lists DirectX, OpenGL, and Vulkan as N/A, while the RX 7900M supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. Display outputs are minimal on the GB10 (1x HDMI), while the RX 7900M is portable-device dependent.
Head-to-Head Benchmarks
The head-to-head data covers two Geekbench tests, and AMD wins both. In Geekbench OpenCL, the RX 7900M scores 129,499 against the GB10’s 120,137, a 7.2% margin. The Vulkan test is more lopsided: AMD scores 158,760, while NVIDIA manages 114,648, which is a 27.8% deficit for the GB10. The overall wins tally is 0 for NVIDIA and 2 for AMD.
Looking at average benchmark scores, the GB10 averages 117,393, while the RX 7900M averages 97,487. This is notable because the GB10’s average is higher despite losing both head-to-head tests. The explanation lies in the benchmark mix: the GB10 has only two Geekbench results, while the RX 7900M includes a 3DMark Steel Nomad DX12 score of 4,201, which drags its average down. The GB10’s percentile ranking is 95, slightly above the RX 7900M’s 94.
For context on the GB10’s average, its nearest rival is the NVIDIA RTX 4000 SFF Ada Generation at 117,088, a 0.3% difference. The AMD Radeon PRO W7700 scores 118,976, putting it 1.3% ahead of the GB10. The GB10 also leads the Tesla V100 SXM2 16 GB (114,395) by 2.6% and the RTX A5500 Mobile (113,944) by 3%.
For the RX 7900M, its nearest rival is the AMD Radeon Pro VII at 97,131, a 0.4% gap. The NVIDIA Quadro RTX 6000 scores 101,872, which is 4.3% higher. The RX 7900M beats the AMD Radeon Instinct MI60 (92,466) by 5.4% and the NVIDIA RTX A4500 (91,671) by 6.3%. These figures show that while the RX 7900M excels in specific Vulkan workloads, its average is pulled down by the 3DMark result, which may not be directly comparable to the GB10’s test suite.
The Vulkan delta of 27.8% is the single largest performance gap in the data. It suggests that the RX 7900M’s architecture is particularly strong in this API, likely due to its RDNA 3.0 design and higher memory bandwidth. The OpenCL gap is smaller at 7.2%, indicating closer compute parity in that workload.
Specification Differences
- Architecture: NVIDIA Blackwell 2.0 vs AMD RDNA 3.0
- Chip: GB20B vs Navi 31
- Transistors: Unknown vs 57,700 million
- Die Size: 382 mm² vs 529 mm²
- Base Clock: 1665 MHz vs 1825 MHz
- Boost Clock: 2418 MHz vs 2090 MHz
- Memory Size: 128 GB vs 16 GB
- Memory Type: LPDDR5X vs GDDR6
- Memory Clock: 1067 MHz (8.5 Gbps) vs 2250 MHz (18 Gbps)
- Memory Bandwidth: 273.2 GB/s vs 576.0 GB/s
- Shading Units: 6144 vs 4608
- TMUs: 384 vs 288
- ROPs: 48 vs 192
- RT Cores: 48 vs 72
- Tensor Cores: 384 vs None
- Pixel Rate: 116.1 GPixel/s vs 401.3 GPixel/s
- Texture Rate: 928.5 GTexel/s vs 601.9 GTexel/s
- FP32: 29.71 TFLOPS vs 38.52 TFLOPS
- FP16: 29.71 TFLOPS (1:1) vs 77.05 TFLOPS (2:1)
- TDP: 140 W vs 180 W
- Suggested PSU: 300 W vs None listed
- Bus Interface: PCIe 5.0 x16 vs PCIe 4.0 x16
- Display Outputs: 1x HDMI vs Portable Device Dependent
- APIs: DirectX/OpenGL/Vulkan N/A vs DX 12 Ultimate, OpenGL 4.6, Vulkan 1.4
- Release Date: 2025-10-14 vs 2023-10-18
- Launch MSRP: 3,999 USD vs None listed
The Verdict
The data paints a clear picture of two GPUs designed for different purposes. The AMD Radeon RX 7900M wins both head-to-head benchmarks, with a commanding 27.8% lead in Vulkan and a 7.2% lead in OpenCL. For anyone prioritizing raw graphics throughput and modern API support, the RX 7900M is the stronger choice based on these results. Its 576.0 GB/s memory bandwidth and 38.52 TFLOPS FP32 performance are substantial advantages for gaming and compute-heavy visual workloads.
However, the NVIDIA GB10 has its own strengths. Its 128 GB memory capacity is extraordinary, and its average benchmark score of 117,393 is higher than the RX 7900M’s 97,487. This suggests that in the GB10’s intended server context, its performance profile is more consistent. The 384 tensor cores and PCIe 5.0 interface point to AI and data-center applications, where the RX 7900M’s lack of tensor cores is a clear limitation. The GB10 also draws less power at 140 W versus 180 W.
The RX 7900M’s pixel rate of 401.3 GPixel/s is more than triple the GB10’s 116.1 GPixel/s, while the GB10 counters with a higher texture rate of 928.5 GTexel/s versus 601.9 GTexel/s. These are fundamentally different compute profiles. The AMD card is optimized for throughput in graphics pipelines, while the NVIDIA chip prioritizes memory capacity and AI acceleration.
For a buyer in the mobile or portable GPU space, the RX 7900M wins on measurable performance in every head-to-head test. It also offers full DirectX 12 Ultimate and Vulkan 1.4 support, making it a straightforward choice for gaming or graphics workstations. The GB10, with no listed API support and only a single HDMI output, is not designed for such roles.
For a server deployment focused on large models or datasets, the GB10’s 128 GB memory is unmatched, and its higher average score across its benchmark suite indicates strong all-around compute. The 3,999 USD launch MSRP, mentioned once here, positions it as a premium server part. The RX 7900M has no MSRP listed and appears to target a different market segment.
The verdict from the data: pick the AMD Radeon RX 7900M for graphics performance, API compatibility, and memory bandwidth. Pick the NVIDIA GB10 for memory capacity, AI tensor workloads, and energy efficiency in a server context. In head-to-head gaming-style benchmarks, AMD wins both rounds decisively.