Intel Arc Pro A30M vs NVIDIA CMP 70HX Comparison

Intel
GPU

Intel Arc Pro A30M

CORE STATE DG2-128
VRAM 4 GB
CLOCK SPEED 2000 MHz
TDP 50 W
BUS WIDTH 64 bit
ARCHITECTURE Xe-HPG
nm
PROCESS 6 nm
LAUNCH DATE 2022
VS
NVIDIA
GEFORCE

CMP 70HX

CORE STATE GA104
VRAM 8 GB
CLOCK SPEED 1395 MHz
TDP
BUS WIDTH 256 bit
ARCHITECTURE Ampere
nm
PROCESS 8 nm
LAUNCH DATE

PERFORMANCE BENCHMARKS

geekbench_opencl
31,894
25,135
geekbench_vulkan
N/A
35,817

Analysis: Intel Arc Pro A30M vs NVIDIA CMP 70HX

Intel Arc Pro A30M and NVIDIA CMP 70HX are both end-of-life professional-adjacent GPUs, but they target entirely different workloads. The benchmark data shows the Intel part wins the only shared test decisively, while the NVIDIA card offers a vastly larger memory subsystem and compute resources. This analysis breaks down the numbers.

Head-to-Head Benchmarks

The only directly comparable benchmark between the two cards is Geekbench OpenCL, and the result is a clear victory for the Intel Arc Pro A30M. The Intel GPU scores 31,894 points, while the NVIDIA CMP 70HX scores 25,135 points. That translates to a 26.9% lead for Intel in this specific compute test — a substantial margin that places the A30M in a higher performance tier despite its smaller physical footprint.

Context from the nearest rivals reinforces this. The Arc Pro A30M sits at the 76th percentile of all GPUs, with its average benchmark score of 31,894 landing just 0.7% above the NVIDIA TITAN RTX (31,676) and 1.1% above the NVIDIA RTX PRO 4500 Blackwell (31,532). It trails the AMD Radeon Pro 570X (32,176) by 0.9% and the AMD FirePro S10000 (32,388) by 1.5%. In contrast, the CMP 70HX sits at the 75th percentile with an average score of 30,476 across its two benchmarks (OpenCL and Vulkan). Its OpenCL score of 25,135 is well below the Arc Pro A30M, while its Vulkan score of 35,817 is the single highest number either card produces in any test.

The raw delta is the headline: in OpenCL, the Intel card is roughly a quarter faster than the NVIDIA card. The CMP 70HX’s Vulkan score of 35,817 suggests it has untapped potential in graphics-oriented APIs, but since the Arc Pro A30M has no Vulkan result in the data, a direct cross-API comparison is not possible. The verdict from the shared benchmark is unambiguous: Intel wins the only head-to-head contest available.

Architecture Differences

These two GPUs come from different foundries, process nodes, and architectural generations, which explains their contrasting profiles. The Intel Arc Pro A30M uses the DG2-128 chip built on TSMC’s 6 nm process, while the NVIDIA CMP 70HX uses the GA104 chip on Samsung’s 8 nm node. The transistor counts differ enormously: Intel packs 7,200 million transistors into a 157 mm² die, yielding a density of 45.9 million transistors per mm². NVIDIA crams 17,400 million transistors into a 392 mm² die, with a slightly lower density of 44.4 million per mm². Intel’s newer process gives it a density edge despite having fewer total transistors.

The memory configurations are polar opposites. The Arc Pro A30M has 4 GB of GDDR6 on a 64-bit bus, delivering 128.0 GB/s of bandwidth. The CMP 70HX has 8 GB of GDDR6X on a 256-bit bus, delivering 608.3 GB/s — nearly five times the bandwidth. Memory clocks also differ: Intel runs at 2000 MHz (16 Gbps effective), while NVIDIA runs at 1188 MHz (19 Gbps effective). The NVIDIA card’s wider bus and faster effective speed are the dominant factors here.

Core counts tell a story of scale. The CMP 70HX has 3,840 shading units, 120 TMUs, 64 ROPs, 30 RT cores, and 120 tensor cores. The Arc Pro A30M has 1,024 shading units, 64 TMUs, 32 ROPs, and 8 RT cores, with no tensor cores listed. This translates into raw throughput: NVIDIA’s card hits 10.71 TFLOPS FP32 and 10.71 TFLOPS FP16 (1:1), while Intel manages 4.096 TFLOPS FP32 and 8.192 TFLOPS FP16 (2:1). The CMP 70HX has over 2.6 times the FP32 throughput.

Clock speeds and power profiles differ as well. Intel’s base clock is 1500 MHz with a boost of 2000 MHz, while NVIDIA’s is 1365 MHz base and 1395 MHz boost — Intel runs significantly faster per clock. The Intel card has a 50 W TDP and no power connectors, while the NVIDIA card lists a 200 W suggested PSU and a single 12-pin connector. The CMP 70HX is a dual-slot card measuring 267 mm (10.5 inches) long and 112 mm (4.4 inches) tall, whereas the A30M is portable-device-dependent with no fixed dimensions. The NVIDIA card has no display outputs, while the Intel card’s outputs are dependent on the host device. Both support PCIe, but Intel uses 4.0 x8 while NVIDIA uses 1.0 x4 — a significant interface gap that may bottleneck the CMP 70HX in some scenarios.

Where Each One Wins

The Intel Arc Pro A30M wins in the compute benchmark that matters for this comparison, and it does so decisively. Its 26.9% OpenCL advantage over the CMP 70HX is the single most important data point. The A30M also offers a far more efficient power profile (50 W TDP vs. a 200 W suggested PSU), a modern PCIe 4.0 x8 interface, and display outputs that make it usable in a conventional workstation or laptop. Its higher boost clock (2000 MHz vs. 1395 MHz) suggests strong per-core efficiency.

The NVIDIA CMP 70HX wins on sheer resources. Its 8 GB of GDDR6X memory with 608.3 GB/s bandwidth is a massive advantage for memory-bound workloads — anything that needs to move large datasets will favor the NVIDIA card. Its 3,840 shading units, 120 tensor cores, and 10.71 TFLOPS FP32 throughput make it a compute powerhouse on paper, even if the OpenCL result doesn’t reflect that. The Vulkan score of 35,817, which is 13.7% higher than Intel’s OpenCL score, hints that the CMP 70HX can outperform in graphics-adjacent APIs. However, the CMP 70HX has no display outputs, so it is strictly a compute or mining accelerator, not a general-purpose GPU.

The PCIe interface is a critical differentiator. Intel’s 4.0 x8 link provides substantial bandwidth for data transfer, while NVIDIA’s 1.0 x4 is an ancient bottleneck that could severely limit performance in systems that rely on CPU-GPU communication. For workloads that are sensitive to PCIe bandwidth, the A30M has a structural advantage regardless of raw compute.

FAQ

Q: Which GPU has a higher OpenCL benchmark score?

A: The Intel Arc Pro A30M scores 31,894 in Geekbench OpenCL, which is 26.9% higher than the NVIDIA CMP 70HX’s 25,135.

Q: How does the NVIDIA CMP 70HX perform in Vulkan?

A: The CMP 70HX scores 35,817 in Geekbench Vulkan, which is higher than its OpenCL score and higher than the Intel A30M’s OpenCL score. However, no Vulkan result is available for the Intel card.

Q: What is the memory bandwidth difference between the two cards?

A: The NVIDIA CMP 70HX has 608.3 GB/s of bandwidth via 8 GB of GDDR6X on a 256-bit bus, while the Intel Arc Pro A30M has 128.0 GB/s via 4 GB of GDDR6 on a 64-bit bus — a 4.75x advantage for NVIDIA.

Q: Which card has more raw compute throughput?

A: The NVIDIA CMP 70HX has 10.71 TFLOPS FP32 and 10.71 TFLOPS FP16, while the Intel Arc Pro A30M has 4.096 TFLOPS FP32 and 8.192 TFLOPS FP16. NVIDIA’s FP32 figure is over 2.6 times higher.

Q: Do either of these GPUs support display outputs?

A: The NVIDIA CMP 70HX has no display outputs. The Intel Arc Pro A30M’s display outputs are described as "portable device dependent," meaning they vary by the host system.

Q: What is the power draw difference?

A: The Intel Arc Pro A30M has a 50 W TDP and no power connectors, while the NVIDIA CMP 70HX has a 200 W suggested PSU and requires one 12-pin connector. The Intel card uses 75% less power at the TDP level.

Specification Differences

The two cards diverge on nearly every specification. The process node differs: Intel uses 6 nm TSMC, NVIDIA uses 8 nm Samsung. Transistor count is 7,200 million for Intel versus 17,400 million for NVIDIA, with die sizes of 157 mm² and 392 mm² respectively. Memory is 4 GB GDDR6 (64-bit, 128.0 GB/s) for Intel versus 8 GB GDDR6X (256-bit, 608.3 GB/s) for NVIDIA. Core counts: Intel has 1,024 shading units, 64 TMUs, 32 ROPs, and 8 RT cores; NVIDIA has 3,840 shading units, 120 TMUs, 64 ROPs, 30 RT cores, and 120 tensor cores. Clock speeds: Intel runs at 1500 MHz base / 2000 MHz boost; NVIDIA at 1365 MHz base / 1395 MHz boost. FP32 throughput: Intel at 4.096 TFLOPS, NVIDIA at 10.71 TFLOPS. FP16: Intel at 8.192 TFLOPS (2:1), NVIDIA at 10.71 TFLOPS (1:1). Power: Intel at 50 W TDP with no connectors; NVIDIA has a 200 W suggested PSU and one 12-pin connector. The bus interface is PCIe 4.0 x8 for Intel and PCIe 1.0 x4 for NVIDIA. Physical dimensions: NVIDIA is 267 mm x 112 mm, dual-slot; Intel is portable-device-dependent. Display outputs: Intel is device-dependent, NVIDIA has none. The NVIDIA card also has no release date and no launch MSRP in the data, while Intel was released in 2022.

The Verdict

The data tells a clear story: the Intel Arc Pro A30M is the better overall GPU for general compute workloads, despite having far fewer resources. Its 26.9% OpenCL lead over the CMP 70HX is conclusive, and its modern PCIe 4.0 x8 interface, lower power draw, and display output support make it a far more versatile component. The A30M also holds a higher percentile ranking (76th vs. 75th) and a higher average benchmark score (31,894 vs. 30,476). For anyone needing a functional GPU that can handle OpenCL compute tasks efficiently, the Intel card is the clear choice.

The NVIDIA CMP 70HX is not without merit, but its strengths are narrow. The 8 GB GDDR6X memory and 608.3 GB/s bandwidth are unmatched by the Intel card, and the 10.71 TFLOPS FP32 throughput is a massive theoretical advantage. The Vulkan score of 35,817 suggests it excels in Vulkan-based workloads. However, the lack of display outputs, the archaic PCIe 1.0 x4 interface, and the poor OpenCL showing undermine its practical value. The CMP 70HX is a specialized mining or compute card, and its data profile reflects that — it is not a general-purpose competitor to the A30M.

The verdict is straightforward. For compute workloads measured by OpenCL, the Intel Arc Pro A30M wins outright. For memory-intensive tasks or Vulkan-specific applications, the NVIDIA CMP 70HX has distinct advantages, but its limitations make it a niche product. The data supports picking the Intel card for most use cases, with the CMP 70HX reserved for scenarios that specifically require its memory bandwidth or Vulkan performance.

DETAILED SPECIFICATIONS

SPECIFICATION
Pro A30M
CMP 70HX
Core Specs
Shading Units
1,024
3,840 +275.0%
Shaders
1,024
3,840 +275.0%
TMUs
64
120 +87.5%
ROPs
32
64 +100.0%
SM Count
30
Execution Units
128
Clocks
Base Clock
1500 MHz
1365 MHz
Boost Clock
2000 MHz
1395 MHz
Memory Clock
2000 MHz 16 Gbps effective
1188 MHz 19 Gbps effective
Memory
Memory Size
4 GB
8 GB
VRAM (MB)
4,096
8,192 +100.0%
Memory Type
GDDR6
GDDR6X
Memory Bus
64 bit
256 bit
Bandwidth
128.0 GB/s
608.3 GB/s
Cache
L1 Cache
128 KB (per SM)
L2 Cache
4 MB
4 MB
Performance
Pixel Rate
64.00 GPixel/s
89.28 GPixel/s
Texture Rate
128.0 GTexel/s
167.4 GTexel/s
FP32 (TFLOPS)
4.096 TFLOPS
10.71 TFLOPS
FP64 (TFLOPS)
1,024.0 GFLOPS (1:4)
167.4 GFLOPS (1:64)
FP16 (TFLOPS)
8.192 TFLOPS (2:1)
10.71 TFLOPS (1:1)
AI/RT
RT Cores
8
30 +275.0%
Tensor Cores
120
XMX Cores
128
Power
TDP
50 W
TDP (W)
50
Suggested PSU
200 W
Power Connectors
None
1x 12-pin
Architecture
Architecture
Xe-HPG
Ampere
GPU Name
DG2-128
GA104
Generation
Alchemist (Pro-Series Mobile)
Mining GPUs
Process Size
6 nm
8 nm
Transistors
7,200 million
17,400 million
Die Size
157 mm²
392 mm²
Foundry
TSMC
Samsung
Density
45.9M / mm²
44.4M / mm²
API Support
DirectX
12 Ultimate (12_2)
12 Ultimate (12_2)
OpenGL
4.6
4.6
Vulkan
1.4
1.4
OpenCL
3.0
3.0
CUDA
8.6
Shader Model
6.6
6.8
Physical
Slot Width
Dual-slot
Length
267 mm 10.5 inches
Height
112 mm 4.4 inches
Outputs
Portable Device Dependent
No outputs
Bus Interface
PCIe 4.0 x8
PCIe 1.0 x4
Other
Production
End-of-life
End-of-life
View Arc Pro A30M Details View CMP 70HX Details