AMD Radeon RX 7900M vs NVIDIA RTX A4500 Mobile Comparison

The AMD Radeon RX 7900M and NVIDIA RTX A4500 Mobile represent two distinct approaches to high-end laptop graphics, separated by a full architectural generation. The data shows the RX 7900M, built on TSMC's 5 nm process with RDNA 3.0, goes head-to-head with the Ampere-based RTX A4500 Mobile on Samsung's 8 nm node. While both cards achieve a 95th percentile ranking among all GPUs, their underlying designs and benchmark results reveal starkly different strengths. The RX 7900M edges out the RTX A4500 Mobile in average benchmark score (91713 vs 91134, a 0.6% advantage), but the real story lies in the specific workloads where each chip pulls ahead.

Architecture Differences

The RX 7900M is built around the Navi 31 chip, codenamed Plum Bonito, using a chiplet design on a 5 nm process from TSMC. This modern node allows for a massive 57,700 million transistors packed into a 529 mm² die, yielding a transistor density of 109.1M per mm². In contrast, the RTX A4500 Mobile uses the GA104 chip on Samsung's 8 nm process, housing just 17,400 million transistors across a 392 mm² die—a density of 44.4M per mm². That difference in manufacturing technology explains why AMD's chip carries more than three times the transistor count.

The RX 7900M features 4608 shading units, 288 texture mapping units, and 192 ROPs, alongside 72 ray tracing cores. The RTX A4500 Mobile counters with 5888 shading units—over 25% more—but only 184 TMUs and 96 ROPs. NVIDIA's chip also includes 184 tensor cores, a feature the AMD part lacks entirely. Clock speeds diverge sharply: the RX 7900M runs at a base of 1825 MHz and boosts to 2090 MHz, while the RTX A4500 Mobile sits at 930 MHz base and 1500 MHz boost. This clock advantage drives the AMD card's theoretical compute figures: 38.52 TFLOPS FP32 versus 17.66 TFLOPS for NVIDIA, and 77.05 TFLOPS FP16 (2:1 ratio) versus 17.66 TFLOPS (1:1).

Memory configurations are similar on paper—both offer 16 GB of GDDR6 on a 256-bit bus—but the RX 7900M runs at 2250 MHz (18 Gbps effective) for 576.0 GB/s bandwidth, while the RTX A4500 Mobile operates at 2000 MHz (16 Gbps effective) for 512.0 GB/s. Pixel and texture rates tell the same story: AMD delivers 401.3 GPixel/s and 601.9 GTexel/s, compared to 144.0 GPixel/s and 276.0 GTexel/s for NVIDIA. Power draw also differs, with the RX 7900M rated at 180 W TDP versus 140 W for the RTX A4500 Mobile. Both use PCIe 4.0 x16 interfaces and support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The RX 7900M launched in October 2023 and remains active, while the RTX A4500 Mobile shipped in March 2022 and is now end-of-life, succeeding the Quadro Turing-M and preceding Ada-MW.

Head-to-Head Benchmarks

The two available head-to-head benchmark comparisons show a decisive advantage for the AMD part. In Geekbench OpenCL, the RX 7900M scores 117665 against 105307 for the RTX A4500 Mobile—an 11.7% lead. This result aligns with the raw compute disparity: AMD's 38.52 TFLOPS FP32 nearly doubles NVIDIA's 17.66 TFLOPS, and the 576.0 GB/s memory bandwidth further widens the gap in memory-intensive workloads.

The Geekbench Vulkan result is even more lopsided. The RX 7900M posts 153274, while the RTX A4500 Mobile manages only 76960—a massive 99.2% advantage for AMD. This near-doubling of performance in Vulkan reflects the combination of higher clocks, more ROPs, and superior bandwidth on the RDNA 3.0 architecture. The RTX A4500 Mobile's 184 tensor cores and 46 RT cores do not translate into Vulkan compute wins here; the AMD card's 72 RT cores and raw throughput dominate the API-level benchmarks.

Looking at the average benchmark scores, the RX 7900M's 91713 sits just 0.6% above the RTX A4500 Mobile's 91134. This narrow overall margin, despite the large Vulkan delta, suggests the two cards trade blows across a broader test suite beyond the two head-to-head results. The RTX A4500 Mobile's nearest rivals list shows it trailing the RX 7900M by 0.6%, while the RX 7900M's own rival list places it 0.5% behind the desktop RTX A4500—indicating the mobile NVIDIA part is competitive with its desktop sibling. Notably, both mobile GPUs outpace the AMD Radeon Pro VII (88961) and NVIDIA Quadro GP100 (88528) by 2.4-3.6%, confirming their position at the top of the mobile GPU hierarchy.

Where Each One Wins

The RX 7900M clearly wins in raw compute throughput and API-level benchmarks. Its 38.52 TFLOPS FP32 and 77.05 TFLOPS FP16 output, combined with 576.0 GB/s memory bandwidth, make it the stronger choice for GPU compute tasks that scale with shading power and memory speed. The 99.2% Vulkan advantage and 11.7% OpenCL lead suggest AMD's architecture handles modern low-level APIs exceptionally well, particularly in scenarios where high clock speeds (2090 MHz boost) and massive ROP counts (192) come into play. For workloads like real-time rendering, scientific simulation, or machine learning inference that rely on FP32/FP16 throughput, the RX 7900M holds a commanding edge.

The RTX A4500 Mobile wins in efficiency and specialized features. At 140 W TDP versus 180 W, it delivers 88% of the average benchmark score (91134 vs 91713) while drawing 22% less power. Its 184 tensor cores provide dedicated hardware for AI and deep learning workloads that the RX 7900M lacks entirely—a critical differentiator for users running TensorFlow or PyTorch with mixed-precision training. The NVIDIA card's higher shading unit count (5888 vs 4608) and 46 RT cores also offer architectural advantages in ray-traced content creation, even if raw clocks are much lower. For mobile workstations prioritizing battery life, thermal headroom, or NVIDIA-specific software ecosystems (CUDA, OptiX), the RTX A4500 Mobile remains relevant despite its older 8 nm process and 2022 launch date.

FAQ

Q: Which GPU has higher raw compute performance?

A: The AMD Radeon RX 7900M delivers 38.52 TFLOPS FP32 and 77.05 TFLOPS FP16, while the NVIDIA RTX A4500 Mobile provides 17.66 TFLOPS for both FP32 and FP16—making AMD roughly 2.2x faster in FP32 and 4.4x faster in FP16.

Q: How do they compare in memory bandwidth?

A: The RX 7900M offers 576.0 GB/s from 16 GB GDDR6 on a 256-bit bus at 18 Gbps effective, versus 512.0 GB/s for the RTX A4500 Mobile with the same capacity and bus width but 16 Gbps effective memory speed—a 12.5% difference.

Q: What are the benchmark score differences?

A: In Geekbench OpenCL, the RX 7900M scores 117665 versus 105307 for the RTX A4500 Mobile (AMD wins by 11.7%). In Geekbench Vulkan, the RX 7900M scores 153274 versus 76960 (AMD wins by 99.2%). Average scores are 91713 for AMD and 91134 for NVIDIA, a 0.6% margin.

Q: Does the RTX A4500 Mobile have any unique hardware features?

A: Yes, it includes 184 tensor cores specifically designed for AI acceleration, which the RX 7900M lacks. It also has 46 RT cores versus AMD's 72, though the AMD card's higher clocks compensate in many ray tracing scenarios.

Q: Which GPU has better transistor efficiency?

A: The RX 7900M uses TSMC's 5 nm process with 57,700 million transistors at 109.1M per mm², while the RTX A4500 Mobile uses Samsung's 8 nm process with 17,400 million transistors at 44.4M per mm². AMD's design achieves 2.5x higher transistor density.

Q: What are the power requirements?

A: The RX 7900M has a 180 W TDP, while the RTX A4500 Mobile draws 140 W. Despite the higher power draw, AMD's card maintains a performance lead in both head-to-head benchmarks.

The Verdict

The data makes a clear case for the AMD Radeon RX 7900M as the superior performer in pure compute terms. Its 99.2% lead in Vulkan and 11.7% lead in OpenCL are decisive, and its average benchmark score of 91713 tops the RTX A4500 Mobile's 91134. The 5 nm process, 57,700 million transistors, and 576.0 GB/s bandwidth translate directly into benchmark wins that matter for GPU-accelerated workloads. Anyone prioritizing raw FP32/FP16 throughput, memory bandwidth, or Vulkan performance should choose the RX 7900M without hesitation.

The RTX A4500 Mobile earns its place through specialization and efficiency. Its 184 tensor cores offer AI acceleration that the AMD part cannot match, and its 140 W TDP delivers comparable average scores at lower power consumption. For users locked into NVIDIA's CUDA ecosystem or needing tensor core support for deep learning, the RTX A4500 Mobile remains a viable option—especially given its end-of-life status suggests it may be available at favorable terms. However, the benchmark results show it trails in every head-to-head test, and its 8 nm process and 2022 release date place it a generation behind. The verdict is straightforward: the RX 7900M wins on performance, while the RTX A4500 Mobile wins on AI features and power efficiency.