AMD Radeon RX 7600M vs NVIDIA RTX 4000 SFF Ada Generation Comparison

FAQ

Q: Which GPU has the higher average benchmark score in the database?

A: The NVIDIA RTX 4000 SFF Ada Generation records an average benchmark score of 117,088, while the AMD Radeon RX 7600M scores 63,775. The NVIDIA part sits at the 95th percentile of all GPUs, compared to the 89th percentile for the AMD part.

Q: How large is the performance gap in the only shared benchmark test?

A: In Geekbench OpenCL, the NVIDIA RTX 4000 SFF Ada Generation scores 124,812 versus 63,775 for the AMD Radeon RX 7600M. That is a 95.7% advantage for the NVIDIA part, meaning it nearly doubles the AMD score.

Q: What is the memory configuration difference between these two cards?

A: The NVIDIA RTX 4000 SFF Ada Generation has 20 GB of GDDR6 on a 160-bit bus with 280.0 GB/s bandwidth. The AMD Radeon RX 7600M has 8 GB of GDDR6 on a 128-bit bus with 256.0 GB/s bandwidth.

Q: Which GPU has the higher boost clock?

A: The AMD Radeon RX 7600M boosts to 2410 MHz, while the NVIDIA RTX 4000 SFF Ada Generation boosts to 1560 MHz. However, the NVIDIA part achieves higher benchmark scores despite the lower clock.

Q: What are the physical form factor differences?

A: The NVIDIA RTX 4000 SFF Ada Generation is a dual-slot card measuring 168 mm in length and 69 mm in height with four mini-DisplayPort 1.4a outputs. The AMD Radeon RX 7600M is an integrated GPU (IGP) with display outputs described as "Portable Device Dependent."

Q: When were these two GPUs released?

A: The AMD Radeon RX 7600M was released on January 3, 2023, and the NVIDIA RTX 4000 SFF Ada Generation was released on March 20, 2023. Neither has a recorded launch MSRP in the database.

Architecture Differences

The NVIDIA RTX 4000 SFF Ada Generation uses the AD104 chip built on TSMC's 5 nm process, containing 35,800 million transistors on a 294 mm² die. This yields a transistor density of 121.8 million per mm². The architecture is Ada Lovelace, belonging to the Workstation Ada generation.

The AMD Radeon RX 7600M uses the Navi 33 chip on TSMC's 6 nm process, with 13,300 million transistors on a 204 mm² die. That gives a transistor density of 65.2 million per mm². The architecture is RDNA 3.0, with the codename "Hotpink Bonefish," and it belongs to the Navi Mobile generation of the RX 7000M series.

The NVIDIA part features 6,144 shading units, 192 TMUs, and 64 ROPs, along with 48 dedicated ray tracing cores and 192 tensor cores. The AMD part has 1,792 shading units, 112 TMUs, and 64 ROPs, plus 28 ray tracing cores but no tensor core count listed.

Both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, so API compatibility is identical. The NVIDIA card draws 70 W, while the AMD card draws 90 W, making the AMD part more power-hungry despite its lower transistor count and smaller die.

The NVIDIA GPU also carries 192 tensor cores for AI acceleration, a feature absent from the AMD specification sheet. The AMD part compensates with a 2:1 FP16 ratio, delivering 34.55 TFLOPS for half-precision compute, versus the NVIDIA card's 19.17 TFLOPS at 1:1 ratio.

Where Each One Wins

The NVIDIA RTX 4000 SFF Ada Generation wins decisively in compute workloads as measured by Geekbench OpenCL, where it scores 124,812 against the AMD Radeon RX 7600M's 63,775. This 95.7% advantage positions the NVIDIA card for professional rendering, simulation, and workstation tasks where FP32 throughput of 19.17 TFLOPS and 20 GB of VRAM are critical.

The AMD Radeon RX 7600M has its own strengths in the specification sheet, particularly in pixel throughput. It achieves 154.2 GPixel/s compared to the NVIDIA card's 99.84 GPixel/s, a 54% higher fill rate. The AMD part also has a higher boost clock of 2410 MHz versus 1560 MHz, and a higher game clock of 2070 MHz.

For half-precision compute, the AMD card delivers 34.55 TFLOPS FP16, which is 80% higher than the NVIDIA card's 19.17 TFLOPS FP16. This makes the AMD part more suitable for workloads that leverage FP16 arithmetic, such as certain AI inference tasks.

The NVIDIA card's 280.0 GB/s memory bandwidth and 20 GB capacity give it an advantage in large dataset handling, while the AMD card's 256.0 GB/s bandwidth and 8 GB capacity limit its ceiling for memory-intensive applications.

The NVIDIA RTX 4000 SFF Ada Generation also wins on power efficiency in benchmark terms: it produces 95.7% higher OpenCL scores while drawing 22% less power (70 W versus 90 W).

Specification Differences

The two GPUs differ in nearly every major specification field:

• Process node: NVIDIA uses 5 nm, AMD uses 6 nm
• Transistors: NVIDIA has 35,800 million, AMD has 13,300 million
• Die size: NVIDIA is 294 mm², AMD is 204 mm²
• Transistor density: NVIDIA at 121.8M / mm², AMD at 65.2M / mm²
• Base clock: NVIDIA at 720 MHz, AMD at 1500 MHz
• Boost clock: NVIDIA at 1560 MHz, AMD at 2410 MHz
• Memory size: NVIDIA at 20 GB, AMD at 8 GB
• Memory bus width: NVIDIA at 160 bit, AMD at 128 bit
• Memory bandwidth: NVIDIA at 280.0 GB/s, AMD at 256.0 GB/s
• Shading units: NVIDIA at 6144, AMD at 1792
• TMUs: NVIDIA at 192, AMD at 112
• ROPs: NVIDIA at 64, AMD at 64 (identical)
• Ray tracing cores: NVIDIA at 48, AMD at 28
• Tensor cores: NVIDIA at 192, AMD not listed
• Pixel rate: NVIDIA at 99.84 GPixel/s, AMD at 154.2 GPixel/s
• Texture rate: NVIDIA at 299.5 GTexel/s, AMD at 269.9 GTexel/s
• FP32: NVIDIA at 19.17 TFLOPS, AMD at 17.27 TFLOPS
• FP16: NVIDIA at 19.17 TFLOPS, AMD at 34.55 TFLOPS
• TDP: NVIDIA at 70 W, AMD at 90 W
• Slot width: NVIDIA dual-slot, AMD IGP
• Display outputs: NVIDIA four mini-DisplayPort 1.4a, AMD portable device dependent
• Dimensions: NVIDIA 168 mm length, 69 mm height; AMD not specified
• Suggested PSU: NVIDIA at 250 W, AMD not listed
• Power connectors: both none
• Bus interface: both PCIe 4.0 x16
• Release date: NVIDIA March 2023, AMD January 2023
• Predecessor: NVIDIA Workstation Ampere, AMD Polaris Mobile
• Successor: NVIDIA Blackwell PRO W, AMD none listed

Head-to-Head Benchmarks

The database contains only one shared benchmark between these two GPUs: Geekbench OpenCL. In that test, the NVIDIA RTX 4000 SFF Ada Generation scores 124,812, and the AMD Radeon RX 7600M scores 63,775. The delta is 95.7% in favor of the NVIDIA part.

To put that in context, the NVIDIA card's nearest rivals include the NVIDIA GB10 at 117,393 (0.3% lower), the AMD Radeon PRO W7700 at 118,976 (1.6% lower), the NVIDIA Tesla V100 SXM2 16 GB at 114,395 (2.4% above the RTX 4000 SFF), and the NVIDIA RTX A5500 Mobile at 113,944 (2.8% above). The RTX 4000 SFF Ada Generation sits in a tight cluster near these workstation-grade parts.

The AMD Radeon RX 7600M's nearest rivals are the AMD Radeon RX 9060 XT LP at 63,830 (0.1% above), the NVIDIA CMP 30HX at 63,842 (0.1% above), the AMD Radeon Pro Vega 56 at 63,693 (0.1% below), and the AMD Radeon Pro WX 9100 at 64,212 (0.7% above). The AMD part is essentially tied with these lower-tier workstation and mining cards, placing it in a completely different performance class.

The NVIDIA RTX 4000 SFF Ada Generation's OpenCL score is 95.7% higher than the AMD Radeon RX 7600M's, which means the NVIDIA card delivers nearly double the compute throughput. The AMD card's closest rival in the database, the Radeon PRO W7700, scores 118,976, which is still 4.7% below the NVIDIA RTX 4000 SFF Ada Generation.

The AMD Radeon RX 7600M does have the higher pixel rate at 154.2 GPixel/s versus 99.84 GPixel/s, and higher FP16 throughput at 34.55 TFLOPS versus 19.17 TFLOPS. However, these advantages do not translate into a higher OpenCL score, as the benchmark primarily reflects FP32 compute and memory bandwidth.

The NVIDIA card's 280.0 GB/s memory bandwidth and 20 GB capacity support its compute advantage, while the AMD card's 256.0 GB/s and 8 GB configuration limit its ability to sustain memory-heavy workloads.

The Verdict

The data is unambiguous: the NVIDIA RTX 4000 SFF Ada Generation is the superior GPU for compute-intensive workloads. It wins the only head-to-head benchmark by 95.7%, nearly doubling the AMD Radeon RX 7600M's OpenCL score. Its 95th percentile ranking versus 89th for the AMD part confirms its higher standing in the overall GPU landscape.

Users who need maximum FP32 compute, large memory capacity, or tensor core acceleration should choose the NVIDIA RTX 4000 SFF Ada Generation. Its 20 GB VRAM, 6144 shading units, and 192 tensor cores make it suitable for professional workstation tasks, while its 70 W power draw and dual-slot form factor allow deployment in compact systems.

The AMD Radeon RX 7600M is the choice for scenarios prioritizing raw pixel throughput or half-precision compute. Its 154.2 GPixel/s pixel rate exceeds the NVIDIA card by 54%, and its 34.55 TFLOPS FP16 throughput is 80% higher. As an integrated GPU with portable device dependent outputs, it fits in mobile form factors where a dual-slot add-in card cannot.

However, the benchmark evidence shows that the AMD part's 17.27 TFLOPS FP32 and 8 GB memory configuration place it in a lower performance tier. Its nearest rivals all score within 0.7% of its 63,775 average, indicating that it competes with much older or lower-end parts, not with the NVIDIA RTX 4000 SFF Ada Generation.

The NVIDIA RTX 4000 SFF Ada Generation's nearest rivals are all workstation-class GPUs, including the Radeon PRO W7700 and RTX A5500 Mobile, confirming its professional positioning. The AMD Radeon RX 7600M's rivals include the CMP 30HX and Pro WX 9100, suggesting a more modest performance envelope.

For users who prioritize compute performance, memory capacity, and AI features, the NVIDIA RTX 4000 SFF Ada Generation is the clear winner. For users who need a low-power integrated GPU with high pixel fill rates and strong FP16 throughput in a mobile device, the AMD Radeon RX 7600M serves that specific niche.

The 95.7% score gap in Geekbench OpenCL is the defining metric in this comparison. No other consideration in the recorded data closes that chasm.