Intel Arc Pro A30M vs NVIDIA RTX A5000 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

RTX A5000

CORE STATE GA102
VRAM 24 GB
CLOCK SPEED 1695 MHz
TDP 230 W
BUS WIDTH 384 bit
ARCHITECTURE Ampere
nm
PROCESS 8 nm
LAUNCH DATE 2021

PERFORMANCE BENCHMARKS

geekbench_opencl
31,894
157,905
3dmark_3dmark_steel_nomad_dx12
N/A
3,783
geekbench_vulkan
N/A
137,828
passmark_directx_10
N/A
153
passmark_directx_11
N/A
187
passmark_directx_12
N/A
87
passmark_directx_9
N/A
251
passmark_g2d
N/A
1,032
passmark_g3d
N/A
22,541
passmark_gpu_compute
N/A
12,455

Analysis: Intel Arc Pro A30M vs NVIDIA RTX A5000

The data places the NVIDIA RTX A5000 and Intel Arc Pro A30M in drastically different performance tiers, despite their close overall percentile rankings. The single shared benchmark result reveals a massive gulf in compute capability, while their architectural blueprints and physical specifications tell a story of two entirely different design philosophies aimed at different segments of the professional market.

Head-to-Head Benchmarks

The only direct comparison available in the data is the Geekbench OpenCL test, and the results are not close. The NVIDIA RTX A5000 scored 157,905 points, while the Intel Arc Pro A30M managed 31,894 points. This translates to a delta of 395.1% in favor of the NVIDIA card, meaning the A5000 delivered nearly five times the raw compute throughput of the Intel part in this specific workload. The magnitude of this lead is staggering and immediately frames the A5000 as the dominant performer in any compute-heavy scenario.

Looking at the broader context, the RTX A5000's average benchmark score across all tested workloads is 33,622. This places it at the 78th percentile of all GPUs, with its nearest rivals being the NVIDIA GeForce GTX 1060 5 GB (average score 33,694, a delta of -0.2%) and the AMD Radeon RX 7700S (average score 33,849, a delta of -0.7%). The A5000 essentially trades blows with these cards in aggregate, despite being a workstation-focused product. Its individual scores show strength in specific areas: a Passmark G3D score of 22,541 and a Passmark GPU Compute score of 12,455, alongside a Geekbench Vulkan score of 137,828. These figures suggest a well-rounded performer, though the average is pulled down by lower scores in legacy DirectX tests, such as the Passmark DirectX 9 score of 251 and DirectX 10 score of 153.

The Intel Arc Pro A30M, in contrast, has a much slimmer benchmark profile, with only the Geekbench OpenCL score of 31,894 available. Its average benchmark score is identical to this single result, giving it a 76th percentile ranking. Its nearest rivals include the NVIDIA TITAN RTX (average score 31,676, a delta of +0.7%) and the AMD Radeon Pro 570X (average score 32,176, a delta of -0.9%). The data shows the A30M is competitive with these older or lower-tier cards in this one test, but the lack of additional benchmark data makes it difficult to assess its performance in gaming, professional rendering, or other specific APIs. The single data point suggests a capable entry-level mobile workstation GPU, but it is fundamentally outclassed by the A5000 in sheer compute output.

The Verdict

The data is unequivocal: the NVIDIA RTX A5000 is the superior performer by a wide margin. In the one benchmark they share, it is roughly 395% faster than the Intel Arc Pro A30M. For any professional workload that relies on raw compute, such as 3D rendering, simulation, or heavy data processing, the A5000 is the clear choice. Its 78th percentile ranking and high individual scores in modern APIs like Vulkan (137,828) and OpenCL (157,905) underscore its capability as a serious workstation tool.

The Intel Arc Pro A30M, while holding a similar 76th percentile rank, achieves this with a fraction of the performance. Its single benchmark score of 31,894 suggests it is better suited for light to moderate professional tasks, possibly in a mobile or space-constrained environment where its 50 W power draw is a critical advantage. The data implies a user should pick the A5000 for maximum performance and future-proofing in a desktop workstation. The A30M makes sense only when power efficiency and portability are the primary constraints, and the workload is not compute-intensive. The benchmark results do not support any other conclusion; the A5000 wins every performance comparison available.

FAQ

Q: How much faster is the NVIDIA RTX A5000 than the Intel Arc Pro A30M in Geekbench OpenCL?

A: The RTX A5000 scored 157,905, while the Arc Pro A30M scored 31,894. This results in a delta of 395.1%, meaning the A5000 is approximately 395% faster in this specific test.

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

A: The NVIDIA RTX A5000 is at the 78th percentile, while the Intel Arc Pro A30M is at the 76th percentile. Despite the massive performance gap, their overall rankings are quite close.

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

A: The RTX A5000 has an average benchmark score of 33,622, based on ten different tests. The Arc Pro A30M has an average score of 31,894, which is based on a single Geekbench OpenCL test.

Q: Which GPUs are considered nearest rivals to the RTX A5000?

A: The nearest rivals by average score include the NVIDIA GeForce GTX 1060 5 GB (33,694, -0.2%), the AMD Radeon RX 7700S (33,849, -0.7%), the AMD Radeon HD 7950 (33,951, -1%), and the AMD Radeon RX 480 (33,997, -1.1%).

Q: Which GPUs are considered nearest rivals to the Arc Pro A30M?

A: The nearest rivals include the NVIDIA TITAN RTX (31,676, +0.7%), the AMD Radeon Pro 570X (32,176, -0.9%), the NVIDIA RTX PRO 4500 Blackwell (31,532, +1.1%), and the AMD FirePro S10000 (32,388, -1.5%).

Q: Does the RTX A5000 win in every available benchmark?

A: Yes, in the head-to-head comparison data, the RTX A5000 wins the sole Geekbench OpenCL test. It also has a higher average benchmark score and a higher score in the individual Passmark and Vulkan tests listed in its profile.

Specification Differences

The core specifications reveal a stark contrast in design scale. The NVIDIA RTX A5000 is built on the GA102 chip with 28,300 million transistors on an 8 nm Samsung process, resulting in a large 628 mm² die. The Intel Arc Pro A30M uses the DG2-128 chip, which contains only 7,200 million transistors on a 6 nm TSMC process, on a much smaller 157 mm² die. The A5000 offers 24 GB of GDDR6 memory on a 384-bit bus, yielding 768.0 GB/s of bandwidth, whereas the A30M has just 4 GB of GDDR6 on a 64-bit bus, providing 128.0 GB/s.

The processor configurations are equally divergent. The A5000 features 8192 shading units, 256 TMUs, and 96 ROPs, alongside 64 RT cores and 256 tensor cores. The A30M is far leaner, with 1024 shading units, 64 TMUs, and 32 ROPs, plus just 8 RT cores and no listed tensor cores. The clock speeds differ, with the A5000 boosting to 1695 MHz and the A30M boosting to 2000 MHz. Power consumption is a major differentiator: the A5000 has a 230 W TDP and requires a single 8-pin power connector, while the A30M has a 50 W TDP and requires no power connector. The A5000 also uses a PCIe 4.0 x16 interface, while the A30M uses a PCIe 4.0 x8 interface. The A5000 is a dual-slot card with four DisplayPort 1.4a outputs, while the A30M's display outputs are listed as portable device dependent.

Architecture Differences

These two GPUs represent fundamentally different architectural generations and goals. The NVIDIA RTX A5000 is based on the Ampere architecture, part of the Workstation Ampere (Ax000) generation. It features a compute capability that offers FP32 and FP16 performance at a 1:1 ratio, both rated at 27.77 TFLOPS. This symmetric throughput is a hallmark of a compute-oriented design. The Intel Arc Pro A30M uses the Xe-HPG architecture, part of the Alchemist (Pro-Series Mobile) generation. Its FP32 performance is 4.096 TFLOPS, while its FP16 performance is 8.192 TFLOPS, indicating a 2:1 ratio, meaning it processes half-precision data faster than full-precision. This suggests a design more attuned to specific workloads that can leverage reduced precision.

The transistor density is nearly identical, at 45.1M / mm² for the A5000 and 45.9M / mm² for the A30M, but the total scale is vastly different. The A5000’s larger die and transistor count allow for the inclusion of dedicated tensor cores, which are absent from the A30M's specifications. The A5000 also has eight times as many RT cores (64 vs. 8), indicating a much stronger focus on real-time ray tracing. The A5000 was released in April 2021, while the A30M came later in August 2022. Both support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The A5000 is the successor to Quadro Turing and has a successor in Workstation Ada, while the A30M has no listed predecessor or successor.

Where Each One Wins

The NVIDIA RTX A5000 is the clear winner in any scenario requiring maximum compute throughput. Its 27.77 TFLOPS FP32 performance and 768.0 GB/s memory bandwidth make it ideal for complex 3D rendering, scientific simulations, and large-scale data analysis. The 24 GB of VRAM is another significant advantage, allowing for larger datasets and textures to be loaded entirely on the GPU without spilling over to system memory. The presence of tensor cores also gives it a leg up in AI-accelerated tasks, such as deep learning inference or denoising. Its higher TDP of 230 W is a trade-off, but one that is justified by the performance on offer. Any workflow that is bottlenecked by GPU compute will see a massive benefit from the A5000.

The Intel Arc Pro A30M, with its 50 W power draw and no external power connector, wins in the domain of efficiency and portability. It is clearly designed for mobile workstations where battery life and thermal management are paramount. Its 4 GB of memory, while limited, is sufficient for basic professional tasks like CAD viewing, light photo editing, or driving multiple displays. The 2:1 FP16 ratio suggests it might handle certain machine learning inference tasks reasonably well, but the lack of tensor cores means it lacks the specialized hardware for more demanding AI workloads. The A30M is the appropriate choice for a professional who needs a capable GPU on the go, but the data shows it cannot compete with the A5000 in raw performance. The A5000 wins on performance, while the A30M wins on power efficiency and its suitability for compact, mobile systems.

DETAILED SPECIFICATIONS

SPECIFICATION
Pro A30M
RTX A5000
Core Specs
Shading Units
1,024
8,192 +700.0%
Shaders
1,024
8,192 +700.0%
TMUs
64
256 +300.0%
ROPs
32
96 +200.0%
SM Count
64
Execution Units
128
Clocks
Base Clock
1500 MHz
1170 MHz
Boost Clock
2000 MHz
1695 MHz
Memory Clock
2000 MHz 16 Gbps effective
2000 MHz 16 Gbps effective
Memory
Memory Size
4 GB
24 GB
VRAM (MB)
4,096
24,576 +500.0%
Memory Type
GDDR6
GDDR6
Memory Bus
64 bit
384 bit
Bandwidth
128.0 GB/s
768.0 GB/s
Cache
L1 Cache
128 KB (per SM)
L2 Cache
4 MB
6 MB
Performance
Pixel Rate
64.00 GPixel/s
162.7 GPixel/s
Texture Rate
128.0 GTexel/s
433.9 GTexel/s
FP32 (TFLOPS)
4.096 TFLOPS
27.77 TFLOPS
FP64 (TFLOPS)
1,024.0 GFLOPS (1:4)
433.9 GFLOPS (1:64)
FP16 (TFLOPS)
8.192 TFLOPS (2:1)
27.77 TFLOPS (1:1)
AI/RT
RT Cores
8
64 +700.0%
Tensor Cores
256
XMX Cores
128
Power
TDP
50 W
230 W
TDP (W)
50
230 +360.0%
Suggested PSU
550 W
Power Connectors
None
1x 8-pin
Architecture
Architecture
Xe-HPG
Ampere
GPU Name
DG2-128
GA102
Generation
Alchemist (Pro-Series Mobile)
Workstation Ampere (Ax000)
Process Size
6 nm
8 nm
Transistors
7,200 million
28,300 million
Die Size
157 mm²
628 mm²
Foundry
TSMC
Samsung
Density
45.9M / mm²
45.1M / 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
4x DisplayPort 1.4a
Bus Interface
PCIe 4.0 x8
PCIe 4.0 x16
Other
Production
End-of-life
End-of-life
Predecessor
Quadro Turing
Successor
Workstation Ada
View Arc Pro A30M Details View RTX A5000 Details