GPU Comparison

# AMD Radeon RX 7900 GRE vs NVIDIA CMP 70HX

The AMD Radeon RX 7900 GRE is decisively faster than the NVIDIA CMP 70HX across every shared benchmark, with the data showing a 599.3% lead in Geekbench OpenCL and a 178.8% lead in Geekbench Vulkan. The RX 7900 GRE also holds a higher average benchmark score (32456 vs 30476) and a slightly better percentile rank (77th vs 75th), confirming it as the stronger overall performer. The CMP 70HX, however, remains a relevant comparison point due to its lower power requirements and mining-focused design, though its benchmark coverage is far more limited.

Head-to-Head Benchmarks

The most striking result comes from Geekbench OpenCL, where the RX 7900 GRE scores 175758 against the CMP 70HX's 25135. That is a delta of 599.3%, meaning the AMD card delivers roughly seven times the raw compute throughput in this OpenCL workload. This is not a marginal difference; it is a generational gap in compute capability. The RX 7900 GRE's shading units (5120 vs 3840) and texture units (320 vs 120) provide a structural advantage that shows up directly in this test.

In Geekbench Vulkan, the gap narrows but remains enormous. The RX 7900 GRE scores 99850, while the CMP 70HX manages 35817, a delta of 178.8%. Vulkan is a lower-level API that can sometimes favor architectures with better driver optimization, but here the AMD part still nearly triples the NVIDIA result. The RX 7900 GRE's 80 ray tracing cores and 160 ROPs versus the CMP 70HX's 30 RT cores and 64 ROPs explain much of this spread, as Vulkan exercises both rasterization and compute paths.

Looking at the overall average benchmark scores, the RX 7900 GRE posts 32456, while the CMP 70HX averages 30476. That is only a 6.5% difference in aggregate, but this figure is misleading because the CMP 70HX has only two benchmark entries in the dataset, both of which are compute-heavy. The RX 7900 GRE has ten benchmarks covering DirectX 9 through 12, 2D, 3D, and compute workloads, giving it a far more complete profile. In the two tests where they directly compete, the AMD card wins both, so the head-to-head record is 2-0 in favor of the RX 7900 GRE.

The CMP 70HX's nearest rivals include the NVIDIA Tesla M60 (deltaPct 0), AMD Radeon RX 6700 (deltaPct 0.1), and AMD Radeon RX 6800 (deltaPct 1.3), which places it in the same performance tier as mid-range gaming GPUs from the previous generation. The RX 7900 GRE, by contrast, sits near the AMD FirePro S10000 (deltaPct 0.2) and AMD FirePro S9300 X2 (deltaPct -0.3), which are professional-grade cards with much higher compute focus. This comparison reinforces that the RX 7900 GRE is operating in a higher performance class altogether.

Where Each One Wins

The RX 7900 GRE wins every benchmark where both cards have data: Geekbench OpenCL and Geekbench Vulkan. Its 599.3% margin in OpenCL indicates that it is the clear choice for compute-heavy applications that leverage OpenCL, such as scientific simulations, rendering pipelines, or data processing tasks. The 178.8% margin in Vulkan shows that it also excels in modern graphics APIs, making it suitable for gaming and real-time 3D workloads that target Vulkan.

The CMP 70HX has no benchmark wins in this dataset. However, its design philosophy suggests where it might have an edge in practice: the card has no display outputs, which means it is intended solely for compute tasks like cryptocurrency mining, where visual output is unnecessary. It also uses a single 12-pin power connector and has a suggested PSU of 200 W, which is far more modest than the RX 7900 GRE's 2x 8-pin connectors and 600 W suggested PSU. For a system builder prioritizing low power draw and minimal cabling in a dedicated mining rig, the CMP 70HX could be the more practical option despite its lower performance.

The RX 7900 GRE's 16 GB of GDDR6 memory versus the CMP 70HX's 8 GB of GDDR6X gives the AMD card a capacity advantage for large datasets, but the NVIDIA part actually has higher memory bandwidth at 608.3 GB/s versus 576.0 GB/s. That bandwidth edge could help the CMP 70HX in memory-bound workloads, though the compute gap is so large that it is unlikely to overcome the RX 7900 GRE's lead in most scenarios.

FAQ

Q: Which card is faster in OpenCL compute?

A: The AMD Radeon RX 7900 GRE is dramatically faster, scoring 175758 in Geekbench OpenCL compared to the NVIDIA CMP 70HX's 25135, a delta of 599.3%.

Q: How do the two cards compare in Vulkan performance?

A: The RX 7900 GRE leads by 178.8%, with a Geekbench Vulkan score of 99850 versus 35817 for the CMP 70HX.

Q: Does the CMP 70HX have any advantage in memory bandwidth?

A: Yes, the CMP 70HX has 608.3 GB/s of bandwidth versus 576.0 GB/s for the RX 7900 GRE, despite having half the memory capacity (8 GB vs 16 GB).

Q: What is the average benchmark score for each card?

A: The RX 7900 GRE averages 32456 across ten benchmarks, while the CMP 70HX averages 30476 across just two benchmarks.

Q: Can the CMP 70HX output video to a display?

A: No, the CMP 70HX has no display outputs, whereas the RX 7900 GRE includes 1x HDMI 2.1a, 2x DisplayPort 2.1, and 1x USB Type-C.

Q: Which card has a higher percentile ranking among all GPUs?

A: The RX 7900 GRE ranks in the 77th percentile, while the CMP 70HX ranks in the 75th percentile.

Specification Differences

The two cards differ in nearly every major specification category. The RX 7900 GRE uses a 5 nm process from TSMC, while the CMP 70HX uses an 8 nm process from Samsung. The AMD card has 57,700 million transistors on a 529 mm² die, compared to 17,400 million transistors on a 392 mm² die for the NVIDIA part. Transistor density is 109.1M per mm² for the RX 7900 GRE versus 44.4M per mm² for the CMP 70HX.

Clock speeds diverge significantly: the RX 7900 GRE has a base clock of 1287 MHz and a boost clock of 2245 MHz, while the CMP 70HX runs at 1365 MHz base and 1395 MHz boost. The AMD card also has a game clock of 1880 MHz, which the NVIDIA part lacks entirely. Memory configuration differs as well: the RX 7900 GRE has 16 GB of GDDR6 at 2250 MHz (18 Gbps effective), while the CMP 70HX has 8 GB of GDDR6X at 1188 MHz (19 Gbps effective).

Compute resources are heavily skewed toward the AMD card: 5120 shading units, 320 TMUs, and 160 ROPs versus 3840 shading units, 120 TMUs, and 64 ROPs. The RX 7900 GRE has 80 RT cores to the CMP 70HX's 30, and the NVIDIA card has 120 tensor cores while the AMD card has none. Pixel rate is 359.2 GPixel/s for AMD versus 89.28 GPixel/s for NVIDIA, and texture rate is 718.4 GTexel/s versus 167.4 GTexel/s. FP32 throughput is 45.98 TFLOPS versus 10.71 TFLOPS, and FP16 is 91.96 TFLOPS (2:1) versus 10.71 TFLOPS (1:1).

Power and connectivity also differ. The RX 7900 GRE has a TDP of 260 W with 2x 8-pin connectors and a suggested PSU of 600 W, while the CMP 70HX has no listed TDP, uses 1x 12-pin, and suggests a 200 W PSU. The bus interface is PCIe 4.0 x16 for AMD but only PCIe 1.0 x4 for NVIDIA, which severely limits data transfer rates. The RX 7900 GRE measures 276 mm in length, 110 mm in height, and 51 mm in width; the CMP 70HX is 267 mm long and 112 mm tall with no width listed. The AMD card is active in production with a launch date of July 26, 2023, while the CMP 70HX is end-of-life with no release date.

Architecture Differences

The RX 7900 GRE is built on RDNA 3.0 architecture with the Navi 31 chip, codenamed Plum Bonito, part of the Navi III (RX 7000) generation. The CMP 70HX uses Ampere architecture with the GA104 chip and belongs to NVIDIA's Mining GPUs generation. The manufacturing approach is fundamentally different: TSMC's 5 nm node for AMD versus Samsung's 8 nm node for NVIDIA, which contributes to the RX 7900 GRE's higher transistor density (109.1M per mm² vs 44.4M).

The RDNA 3.0 architecture in the RX 7900 GRE supports dual-issue FP16 operations, delivering 91.96 TFLOPS at a 2:1 ratio, whereas the Ampere part in the CMP 70HX delivers FP16 at a 1:1 ratio, matching its FP32 throughput at 10.71 TFLOPS. The AMD card includes 80 ray tracing cores, while the NVIDIA card has 30 RT cores plus 120 tensor cores for AI workloads. The RX 7900 GRE has no tensor cores, so any machine learning acceleration would rely on its raw FP32 or FP16 compute.

The CMP 70HX is architecturally stripped for mining: it has no display outputs, no codename, no release date, and no predecessor or successor. It is essentially a compute-only variant of GA104. The RX 7900 GRE, by contrast, is a full-featured consumer card with HDMI 2.1a, DisplayPort 2.1, and USB Type-C outputs, supporting DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. Both cards support the same API set, but the AMD part has a broader feature set for general use.

The Verdict

From the data, the AMD Radeon RX 7900 GRE is the superior card for any workload that appears in the benchmark set. It wins both head-to-head tests by overwhelming margins, holds a higher average score, and ranks in a higher percentile. Anyone needing OpenCL or Vulkan compute performance should choose the RX 7900 GRE without hesitation; its 599.3% OpenCL lead and 178.8% Vulkan lead are not competitive gaps but outright dominance.

The NVIDIA CMP 70HX only makes sense for a very specific use case: a low-power, compute-only mining rig where the absence of display outputs is a feature, not a limitation. Its 200 W suggested PSU and single 12-pin connector make it easier to integrate into dense mining setups, and its higher memory bandwidth (608.3 GB/s) could be useful for memory-bound hashing algorithms. However, its PCIe 1.0 x4 interface is a severe bottleneck, and its end-of-life production status means no ongoing support or availability guarantees.

For gamers, content creators, or anyone building a general-purpose system, the RX 7900 GRE is the clear pick. Its 16 GB of memory, 45.98 TFLOPS of FP32 compute, and full display output suite make it a versatile card that can handle both graphics and compute tasks. The CMP 70HX is a niche product with a narrow purpose, and the benchmark data shows it cannot compete with the RX 7900 GRE on any measured metric. The verdict is unambiguous: the RX 7900 GRE wins on performance, features, and longevity, while the CMP 70HX is only viable for specialized mining deployments where power efficiency trumps raw speed.