AMD Radeon RX 7900M vs NVIDIA RTX 5000 Ada Generation Comparison

The NVIDIA RTX 5000 Ada Generation is the clear performance leader in this pairing, winning both shared benchmark tests against the AMD Radeon RX 7900M by margins of 35.4% and 22.2%. The recorded data places the RTX 5000 Ada Generation in the 98th percentile of all GPUs in the database versus the 94th percentile for the RX 7900M, a gap that reflects fundamentally different design targets: a dual-slot workstation card built around the large AD102 die versus a mobile Radeon with integrated graphics packaging. The RX 7900M does hold its own ground, sitting within a fraction of a percent of the AMD Radeon Pro VII in its own rival cluster, but against this particular NVIDIA part it concedes every measured contest.

Head-to-Head Benchmarks

Only two tests overlap between the two cards in the database, and the RTX 5000 Ada Generation takes both decisively.

In Geekbench OpenCL, the workstation card scores 175,286 against 129,499 for the RX 7900M, a 35.4% advantage. That is not a marginal lead; it is the kind of gap that shows up as visibly shorter compute times in professional OpenCL workloads. Geekbench Vulkan narrows the distance somewhat but does not change the story: 194,041 versus 158,760, a 22.2% win for the Ada-based card. Vulkan has historically been a friendlier API for AMD's rasterization-heavy designs, so even the tighter of the two results still favors NVIDIA by more than a fifth.

Averaging across all recorded tests, the RTX 5000 Ada Generation posts an average benchmark score of 184,664 against 97,470 for the RX 7900M. Context matters here: the RX 7900M's average includes a 3DMark Steel Nomad DX12 score of 4,201, a gaming-focused test the workstation card has no recorded entry for, so the averages are not directly comparable across the full suite. The head-to-head results, which use only matched tests, remain the definitive comparison, and they are unanimous.

The RX 7900M's rival cluster reinforces where it stands. It sits just 0.4% above the AMD Radeon Pro VII (97,131), trails the NVIDIA Quadro RTX 6000 (101,872) by 4.3%, leads the AMD Radeon Instinct MI60 (92,466) by 5.4%, and leads the NVIDIA RTX A4500 (91,671) by 6.3%. The RTX 5000 Ada Generation, by contrast, rubs shoulders with data-center silicon: it is within 0.5% of the NVIDIA A100 SXM4 80 GB (183,725), 1.3% ahead of the A100 SXM4 40 GB (187,147), 1.4% ahead of the RTX PRO 5000 Blackwell (182,109), and 3.7% ahead of the GeForce RTX 4090 D (178,050). These are two cards operating in different neighborhoods of the performance landscape.

Architecture Differences

Both GPUs are fabricated by TSMC on a 5 nm process, and that is essentially where the architectural similarity ends.

The RTX 5000 Ada Generation uses the AD102 chip under the Ada Lovelace architecture, part of NVIDIA's workstation Ada line and a member of the GeForce 50-series naming family in this database. It packs 76,300 million transistors on a 609 mm² die, yielding a density of 125.3M transistors per mm². The RX 7900M uses the Navi 31 chip, codenamed Plum Bonito, under RDNA 3.0 as part of the Navi Mobile generation. Its transistor count is 57,700 million on a 529 mm² die, a density of 109.1M per mm². The NVIDIA part carries roughly 18,600 million more transistors on roughly 80 mm² more silicon.

The execution resource counts follow the same pattern. The RTX 5000 Ada Generation fields 12,800 shading units, 400 texture mapping units, 100 RT cores, and 400 tensor cores, against 4,608 shading units, 288 TMUs, 72 RT cores, and no discrete tensor cores on the RX 7900M. Clocking strategies differ sharply: the NVIDIA card runs a low 1155 MHz base but boosts to 2550 MHz, while the AMD part runs a higher 1825 MHz base with a lower 2090 MHz boost. Despite the higher base clock, the AMD design's smaller resource pool produces 38.52 TFLOPS of FP32 against 65.28 TFLOPS for the NVIDIA card. FP16 tells an interesting inversion: the RX 7900M reaches 77.05 TFLOPS at a 2:1 rate, exceeding the RTX 5000 Ada Generation's 65.28 TFLOPS at 1:1. Peak pixel rate favors NVIDIA at 448.8 GPixel/s versus 401.3 GPixel/s, while texture throughput is heavily NVIDIA at 1,020.0 GTexel/s versus 601.9 GTexel/s.

Memory is a major differentiator. Both use GDDR6 on a 256-bit bus at 18 Gbps effective, delivering identical 576.0 GB/s bandwidth. But the RTX 5000 Ada Generation carries 32 GB against 16 GB on the RX 7900M, double the capacity for large datasets, high-resolution assets, and memory-hungry compute workloads.

Both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, so API support is equivalent. The RX 7900M was released on October 18, 2023, roughly two months after the RTX 5000 Ada Generation's August 8, 2023 launch. The NVIDIA card's predecessor was Workstation Ampere with Blackwell PRO W as successor; the AMD card succeeded Polaris Mobile with no listed successor.

The Verdict

For anyone whose priority is raw compute throughput and who can accommodate a discrete card, the data points squarely at the RTX 5000 Ada Generation. It wins both shared benchmarks, leads by 35.4% in OpenCL and 22.2% in Vulkan, offers double the memory capacity, and delivers substantially higher FP32, texture, and pixel throughput. It competes with A100-class hardware in the database rankings, which is a statement few workstation cards can make.

The RX 7900M's case rests on form factor and efficiency, not performance. It is an integrated mobile solution with IGP packaging, no power connectors, and a 180 W TDP against 250 W for the NVIDIA card. Where the RTX 5000 Ada Generation demands a dual-slot installation, a 16-pin power connector, and a suggested 600 W power supply, the RX 7900M simply lives inside the portable device it ships in. If the question is which card delivers the highest scores, the answer is the NVIDIA part in every measured test. If the question is which one fits in a laptop, only one answer exists.

Specification Differences

The fields below are where the two cards diverge; everything not listed here, including process node, foundry, memory type, bus width, memory bandwidth, memory clock, bus interface, and API support, is identical or unspecified for both.

• Chip: AD102 (NVIDIA) versus Navi 31, codename Plum Bonito (AMD)
• Architecture: Ada Lovelace versus RDNA 3.0
• Transistors: 76,300 million versus 57,700 million
• Die size: 609 mm² versus 529 mm²
• Transistor density: 125.3M/mm² versus 109.1M/mm²
• Base clock: 1155 MHz versus 1825 MHz
• Boost clock: 2550 MHz versus 2090 MHz
• Memory size: 32 GB versus 16 GB
• Shading units: 12,800 versus 4,608
• TMUs: 400 versus 288
• ROPs: 176 versus 192
• RT cores: 100 versus 72
• Tensor cores: 400 versus none
• Pixel rate: 448.8 GPixel/s versus 401.3 GPixel/s
• Texture rate: 1,020.0 GTexel/s versus 601.9 GTexel/s
• FP32: 65.28 TFLOPS versus 38.52 TFLOPS
• FP16: 65.28 TFLOPS at 1:1 versus 77.05 TFLOPS at 2:1
• TDP: 250 W versus 180 W
• Slot width: Dual-slot versus IGP
• Power connectors: 1x 16-pin versus none
• Suggested PSU: 600 W versus not specified
• Display outputs: 4x DisplayPort 1.4a versus portable device dependent
• Dimensions: 267 mm length, 112 mm height versus not specified
• Release date: August 8, 2023 versus October 18, 2023
• Predecessor/successor: Workstation Ampere to Blackwell PRO W versus Polaris Mobile with no successor

FAQ

Q: By how much does the RTX 5000 Ada Generation beat the RX 7900M in benchmarks?

A: It wins Geekbench OpenCL by 35.4% (175,286 to 129,499) and Geekbench Vulkan by 22.2% (194,041 to 158,760). It takes both shared tests.

Q: Which card has more memory?

A: The RTX 5000 Ada Generation has 32 GB of GDDR6, double the 16 GB on the RX 7900M. Bandwidth is identical at 576.0 GB/s on both.

Q: Which GPU is more power efficient?

A: The RX 7900M has the lower TDP at 180 W versus 250 W, and it requires no external power connectors, while the NVIDIA card needs a 16-pin connector and a suggested 600 W power supply.

Q: Does either card support ray tracing and AI accelerators?

A: Both have RT cores, with NVIDIA fielding 100 to AMD's 72. Only the RTX 5000 Ada Generation has tensor cores, at 400; the RX 7900M lists none.

Q: How do the two compare to other GPUs in the database?

A: The RTX 5000 Ada Generation sits in the 98th percentile and trades blows with the A100 SXM4 variants, while the RX 7900M sits in the 94th percentile, 0.4% above the Radeon Pro VII and 4.3% behind the Quadro RTX 6000.

Q: Which card has the higher FP16 throughput?

A: The RX 7900M, at 77.05 TFLOPS thanks to a 2:1 FP16 rate, versus 65.28 TFLOPS at 1:1 for the NVIDIA card. In FP32 the ordering reverses, 65.28 versus 38.52 TFLOPS.

Where Each One Wins

RTX 5000 Ada Generation wins in:

• OpenCL compute workloads, by 35.4%
• Vulkan workloads, by 22.2%
• Memory-heavy professional tasks, with 32 GB versus 16 GB
• FP32 compute, at 65.28 versus 38.52 TFLOPS
• Texture-bound work, at 1,020.0 versus 601.9 GTexel/s
• Fixed workstation installations, providing 4x DisplayPort 1.4a outputs for multi-monitor setups
• Ray tracing and AI acceleration, with more RT cores and 400 dedicated tensor cores

RX 7900M wins in:

• Mobile and portable form factors, as an IGP with no slot occupancy and no power connectors
• Lower power draw, at a 180 W TDP versus 250 W
• FP16-rate workloads, at 77.05 TFLOPS versus 65.28 TFLOPS
• Gaming-adjacent scenarios, as the only card of the two with a recorded 3DMark Steel Nomad DX12 result (4,201)

The overall split is lopsided on performance and equally lopsided on practicality. The RTX 5000 Ada Generation is the pick when throughput, memory capacity, and benchmark scores govern the decision. The RX 7900M is the pick when the machine has to move.