Intel Arc A370M vs NVIDIA T1000 8 GB Comparison

Intel
GPU

Intel Arc A370M

CORE STATE DG2-128
VRAM 4 GB
CLOCK SPEED 2050 MHz
TDP 35 W
BUS WIDTH 64 bit
ARCHITECTURE Xe-HPG
nm
PROCESS 6 nm
LAUNCH DATE 2022
VS
NVIDIA
GEFORCE

T1000 8 GB

CORE STATE TU117
VRAM 8 GB
CLOCK SPEED 1395 MHz
TDP 50 W
BUS WIDTH 128 bit
ARCHITECTURE Turing
nm
PROCESS 12 nm
LAUNCH DATE 2021

PERFORMANCE BENCHMARKS

geekbench_opencl
29,676
N/A
geekbench_vulkan
28,673
34,561

Analysis: Intel Arc A370M vs NVIDIA T1000 8 GB

Head-to-Head Benchmarks

The only directly comparable benchmark recorded in the database for both GPUs is Geekbench Vulkan. In this test, the NVIDIA T1000 8 GB scores 34,561 points, while the Intel Arc A370M scores 28,673 points. This gives the NVIDIA T1000 8 GB a decisive 20.5% advantage over the Intel Arc A370M in this particular workload.

This is not a marginal victory. A 20.5% lead in a single compute API benchmark indicates that the T1000 8 GB delivers substantially higher performance in Vulkan-based applications. The Intel Arc A370M, while competitive in its own right, trails by a significant margin in this head-to-head comparison.

Looking at the broader context from the database, the NVIDIA T1000 8 GB sits at the 79th percentile among all GPUs, while the Intel Arc A370M sits at the 74th percentile. This percentile gap of 5 points reinforces the Vulkan result: the T1000 8 GB is positioned higher in the overall performance distribution.

The T1000 8 GB also has a higher average benchmark score of 34,561, compared to the Arc A370M's average of 29,175. That difference of 5,386 points represents an 18.5% gap in average performance across all recorded tests, slightly narrower than the Vulkan-specific delta but still clearly favoring the NVIDIA part.

When examining nearest rivals for each card, the T1000 8 GB is bracketed by the NVIDIA A2 (34,690, 0.4% higher), the AMD Radeon HD 7970 (34,541, 0.1% lower), the NVIDIA TITAN V (34,355, 0.6% lower), and the NVIDIA RTX A1000 (34,207, 1.0% lower). The T1000 8 GB essentially trades blows with these cards, sitting within a 1% band of all four. This indicates it is a well-balanced performer in its segment.

The Intel Arc A370M, by contrast, is bracketed by the AMD Radeon RX Vega M GH (29,197, 0.1% higher), the AMD FirePro W8000 (29,211, 0.1% higher), the AMD Radeon RX 470 (28,996, 0.6% lower), and the AMD Radeon RX 6800M (28,874, 1.0% lower). The Arc A370M sits in a similarly tight band, but at a lower absolute performance level.

The database records 1 win for the NVIDIA T1000 8 GB and 0 wins for the Intel Arc A370M in head-to-head tests. This is a clean sweep for the NVIDIA card, though it is based on a single benchmark entry.

Where Each One Wins

The NVIDIA T1000 8 GB wins in Vulkan compute workloads, as demonstrated by its 20.5% higher score in the Geekbench Vulkan test. This makes it the stronger choice for applications that leverage the Vulkan API for graphics or compute tasks.

The Intel Arc A370M does not win any recorded head-to-head benchmark against the T1000 8 GB. However, the database does show it has its own strengths in different contexts. The Arc A370M produces a Geekbench OpenCL score of 29,676, which is higher than its Vulkan score of 28,673. This suggests the Intel card performs relatively better in OpenCL workloads compared to Vulkan, though no direct comparison to the T1000 8 GB is available for OpenCL.

The T1000 8 GB also holds advantages in several architectural metrics that could translate to specific use cases. It has 8 GB of memory versus the Arc A370M's 4 GB, which matters for larger datasets and higher-resolution textures. Its memory bandwidth of 160.0 GB/s exceeds the Arc A370M's 112.0 GB/s, a 42.9% advantage that benefits memory-intensive workloads.

The Intel Arc A370M counters with higher raw compute throughput. Its FP32 performance of 4.198 TFLOPS is 67.9% higher than the T1000 8 GB's 2.500 TFLOPS. Its FP16 performance of 8.397 TFLOPS is also higher than the T1000 8 GB's 5.000 TFLOPS. In pure compute density, the Arc A370M has the edge.

For pixel and texture throughput, the Arc A370M again leads. It achieves 65.60 GPixel/s versus 44.64 GPixel/s for the T1000 8 GB, and 131.2 GTexel/s versus 78.12 GTexel/s. These figures suggest the Intel card has higher fill-rate capabilities, which could benefit certain rasterization-heavy workloads.

The T1000 8 GB, however, offers a more complete feature set for professional use. It supports four display outputs via 4x mini-DisplayPort 1.4a, while the Arc A370M's outputs are listed as portable device dependent. The T1000 8 GB also uses a PCIe 3.0 x16 interface, while the Arc A370M uses PCIe 4.0 x8, which offers similar bandwidth but different topology.

Architecture Differences

The NVIDIA T1000 8 GB is built on the TU117 chip using the Turing architecture, manufactured on a 12 nm process at TSMC. It contains 4,700 million transistors on a 200 mm² die, resulting in a transistor density of 23.5 million per mm². The chip operates at a base clock of 1065 MHz and a boost clock of 1395 MHz.

The Intel Arc A370M uses the DG2-128 chip with the Xe-HPG architecture, manufactured on a 6 nm process, also at TSMC. It contains 7,200 million transistors on a 157 mm² die, giving it a transistor density of 45.9 million per mm², nearly double that of the T1000 8 GB. The Arc A370M runs at a base clock of 1550 MHz and a boost clock of 2050 MHz, significantly higher than the NVIDIA part.

The memory subsystems differ substantially. The T1000 8 GB has 8 GB of GDDR6 memory on a 128-bit bus, running at 1250 MHz with 10 Gbps effective speed, delivering 160.0 GB/s bandwidth. The Arc A370M has 4 GB of GDDR6 memory on a 64-bit bus, running at 1750 MHz with 14 Gbps effective speed, delivering 112.0 GB/s bandwidth. The NVIDIA card has twice the memory capacity and 42.9% more bandwidth.

Compute unit configurations also diverge. The T1000 8 GB has 896 shading units, 56 TMUs, and 32 ROPs. The Arc A370M has 1024 shading units, 64 TMUs, and 32 ROPs. The Intel card has more shading units and TMUs, though the same ROP count. The Arc A370M also includes 8 ray tracing cores, while the T1000 8 GB has none.

API support differs in DirectX version. The T1000 8 GB supports DirectX 12 (12_1), while the Arc A370M supports DirectX 12 Ultimate (12_2), which includes additional features such as hardware ray tracing and mesh shaders. Both support OpenGL 4.6 and Vulkan 1.4.

Power and physical characteristics differ markedly. The T1000 8 GB has a TDP of 50 W and is a single-slot card measuring 156 mm in length and 69 mm in height, with no power connectors and a suggested PSU of 250 W. The Arc A370M has a TDP of 35 W and is classified as an IGP (integrated graphics processor), with no dimensions or power connector data recorded.

The T1000 8 GB was released on 2021-05-05, while the Arc A370M was released on 2022-03-29, nearly 11 months later. Both are marked as end-of-life products. The T1000 8 GB lists its predecessor as Quadro Volta and successor as Workstation Ampere, while the Arc A370M has no predecessor or successor recorded.

FAQ

Q: Which GPU performs better in Vulkan benchmarks?

A: The NVIDIA T1000 8 GB scores 34,561 in Geekbench Vulkan, which is 20.5% higher than the Intel Arc A370M's score of 28,673. This is the only head-to-head benchmark recorded for both cards.

Q: Does the Intel Arc A370M have any performance advantage?

A: The Arc A370M has higher raw compute specifications: 4.198 TFLOPS FP32 versus 2.500 TFLOPS for the T1000 8 GB, and 8.397 TFLOPS FP16 versus 5.000 TFLOPS. It also has higher pixel and texture rates.

Q: How does memory capacity compare between the two cards?

A: The NVIDIA T1000 8 GB has 8 GB of GDDR6 memory on a 128-bit bus with 160.0 GB/s bandwidth. The Intel Arc A370M has 4 GB of GDDR6 memory on a 64-bit bus with 112.0 GB/s bandwidth.

Q: What are the ray tracing capabilities of each card?

A: The Intel Arc A370M includes 8 ray tracing cores and supports DirectX 12 Ultimate (12_2). The NVIDIA T1000 8 GB has no ray tracing cores and supports DirectX 12 (12_1).

Q: Which card has a higher overall performance percentile?

A: The NVIDIA T1000 8 GB is at the 79th percentile among all GPUs, while the Intel Arc A370M is at the 74th percentile. The T1000 8 GB also has a higher average benchmark score of 34,561 versus 29,175.

Q: How do the power requirements differ?

A: The NVIDIA T1000 8 GB has a TDP of 50 W and suggests a 250 W PSU, with no power connectors needed. The Intel Arc A370M has a TDP of 35 W and is classified as an integrated graphics processor with no PSU suggestion recorded.

The Verdict

The recorded data favors the NVIDIA T1000 8 GB in direct comparison. It wins the only head-to-head benchmark by 20.5%, holds a higher overall percentile (79th versus 74th), and offers twice the memory capacity with 42.9% more bandwidth. For Vulkan-based workloads and memory-intensive applications, the T1000 8 GB is the clear choice.

The Intel Arc A370M should be considered when raw compute throughput is the priority. Its FP32 performance is 67.9% higher, and its FP16 performance is 67.9% higher as well. Its higher pixel and texture rates also make it suitable for fill-rate-bound tasks. Additionally, its support for DirectX 12 Ultimate and 8 ray tracing cores provides features the T1000 8 GB lacks.

For professional workstation use, the T1000 8 GB offers a more traditional discrete GPU form factor with four mini-DisplayPort outputs and a single-slot design. The Arc A370M's integration status and portable device dependent outputs make it less flexible for multi-display setups.

Both cards are end-of-life products, so the decision rests on workload requirements rather than future support. Users prioritizing Vulkan performance, memory capacity, or display connectivity should choose the NVIDIA T1000 8 GB. Users prioritizing compute throughput, ray tracing, or lower power consumption should choose the Intel Arc A370M.

The performance gap in the recorded head-to-head test is substantial, but the architectural differences suggest each card serves a distinct purpose. The data does not support a universal winner; it supports a workload-specific recommendation.

DETAILED SPECIFICATIONS

SPECIFICATION
A370M
T1000 8 GB
Core Specs
Shading Units
1,024
896 -12.5%
Shaders
1,024
896 -12.5%
TMUs
64
56 -12.5%
ROPs
32
32 0.0%
SM Count
14
Execution Units
128
Clocks
Base Clock
1550 MHz
1065 MHz
Boost Clock
2050 MHz
1395 MHz
Memory Clock
1750 MHz 14 Gbps effective
1250 MHz 10 Gbps effective
Memory
Memory Size
4 GB
8 GB
VRAM (MB)
4,096
8,192 +100.0%
Memory Type
GDDR6
GDDR6
Memory Bus
64 bit
128 bit
Bandwidth
112.0 GB/s
160.0 GB/s
Cache
L1 Cache
64 KB (per SM)
L2 Cache
4 MB
1024 KB
Performance
Pixel Rate
65.60 GPixel/s
44.64 GPixel/s
Texture Rate
131.2 GTexel/s
78.12 GTexel/s
FP32 (TFLOPS)
4.198 TFLOPS
2.500 TFLOPS
FP64 (TFLOPS)
1,049.6 GFLOPS (1:4)
78.12 GFLOPS (1:32)
FP16 (TFLOPS)
8.397 TFLOPS (2:1)
5.000 TFLOPS (2:1)
AI/RT
RT Cores
8
XMX Cores
128
Power
TDP
35 W
50 W
TDP (W)
35
50 +42.9%
Suggested PSU
250 W
Power Connectors
None
Architecture
Architecture
Xe-HPG
Turing
GPU Name
DG2-128
TU117
Generation
Alchemist (Arc 3 Mobile)
Quadro Turing (Tx000)
Process Size
6 nm
12 nm
Transistors
7,200 million
4,700 million
Die Size
157 mm²
200 mm²
Foundry
TSMC
TSMC
Density
45.9M / mm²
23.5M / mm²
API Support
DirectX
12 Ultimate (12_2)
12 (12_1)
OpenGL
4.6
4.6
Vulkan
1.4
1.4
OpenCL
3.0
3.0
CUDA
7.5
Shader Model
6.6
6.8
Physical
Slot Width
IGP
Single-slot
Length
156 mm 6.1 inches
Height
69 mm 2.7 inches
Outputs
Portable Device Dependent
4x mini-DisplayPort 1.4a
Bus Interface
PCIe 4.0 x8
PCIe 3.0 x16
Other
Production
End-of-life
End-of-life
Predecessor
Quadro Volta
Successor
Workstation Ampere
View Arc A370M Details View T1000 8 GB Details