GPU Comparison

The NVIDIA GeForce RTX 5070 Mobile and the Intel Arc A370M represent two distinct generations and performance tiers in the mobile GPU landscape. The RTX 5070 Mobile, based on the Blackwell 2.0 architecture, is positioned as a high-performance part with an average benchmark score of 29,928, placing it in the 75th percentile of all GPUs. In contrast, the Intel Arc A370M, built on the Xe-HPG architecture, achieves a lower average score of 29,175 and sits in the 74th percentile. This page analyzes their architectural differences, benchmark performance, and the specific workloads where each GPU holds an advantage.

Where Each One Wins

The data shows a clear split in performance capabilities, with the NVIDIA GeForce RTX 5070 Mobile dominating in compute-intensive and modern API workloads. In the two head-to-head benchmark comparisons available, the RTX 5070 Mobile wins both: Geekbench OpenCL and Geekbench Vulkan. This indicates a significant edge in general-purpose compute tasks and cross-platform graphics APIs. The RTX 5070 Mobile’s score of 122,238 in Geekbench OpenCL is 311.9% higher than the Arc A370M’s 29,676, demonstrating a massive advantage in raw compute throughput. Similarly, its Vulkan score of 116,960 is 307.9% above the Intel part’s 28,673, reinforcing superiority in modern rendering paths.

The Intel Arc A370M, however, does not win any of the compared benchmarks. While it lacks wins in the head-to-head suite, its presence in the 74th percentile suggests it is not a low-end part; rather, it competes with older desktop GPUs like the AMD Radeon RX 470 and the AMD FirePro W8000. For users prioritizing power efficiency over raw performance, the Arc A370M’s 35 W TDP is notably lower than the RTX 5070 Mobile’s 50 W, making it a more suitable choice for thin-and-light laptops where thermal headroom is limited. The RTX 5070 Mobile, with its higher power envelope, is better suited for gaming laptops and creator workstations that can accommodate its thermal output.

The RTX 5070 Mobile’s advantage extends to its memory subsystem, featuring 8 GB of GDDR7 memory with a 128-bit bus and 384.0 GB/s bandwidth, compared to the Arc A370M’s 4 GB of GDDR6 on a 64-bit bus with 112.0 GB/s. This difference is crucial for texture-heavy workloads and higher-resolution gaming, where the larger memory pool prevents frame drops due to buffer overflow. The Arc A370M’s smaller memory footprint makes it adequate for esports titles and older games, but it will struggle with modern AAA titles at high settings.

Architecture Differences

The two GPUs are built on fundamentally different architectures and process nodes. The NVIDIA GeForce RTX 5070 Mobile uses the GB206 chip, fabricated on a 5 nm process at TSMC, which houses 21,900 million transistors on a die size of 181 mm². This works out to a transistor density of 121.0M per mm², a figure that underscores the architectural efficiency of Blackwell 2.0. The Intel Arc A370M, in contrast, uses the DG2-128 chip on TSMC’s 6 nm node, with 7,200 million transistors on a 157 mm² die, resulting in a lower density of 45.9M per mm². The process node advantage gives NVIDIA a significant edge in power efficiency per transistor, though the Arc A370M’s higher base clock of 1550 MHz versus 907 MHz partially compensates in light-load scenarios.

The core configurations diverge sharply. The RTX 5070 Mobile has 4,608 shading units, 144 texture mapping units (TMUs), and 48 render output units (ROPs), while the Arc A370M is limited to 1,024 shading units, 64 TMUs, and 32 ROPs. This disparity translates directly to pixel and texture throughput: the NVIDIA part hits 68.40 GPixel/s and 205.2 GTexel/s, whereas the Intel part achieves 65.60 GPixel/s and 131.2 GTexel/s. The pixel rates are similar, but the RTX 5070 Mobile’s texture rate is 56% higher, which is critical for games that rely on complex shader effects and high-resolution textures.

Ray tracing and AI acceleration also differ. The RTX 5070 Mobile includes 36 ray tracing cores and 144 tensor cores, whereas the Arc A370M has 8 ray tracing cores and no tensor cores listed. The tensor cores enable NVIDIA’s DLSS and other AI-based upscaling technologies, which are absent on the Intel part. Additionally, the RTX 5070 Mobile’s FP32 throughput is 13.13 TFLOPS with a 1:1 FP16 ratio, while the Arc A370M offers 4.198 TFLOPS FP32 and 8.397 TFLOPS FP16 at a 2:1 ratio. For mixed-precision workloads, the NVIDIA GPU provides more balanced performance.

Head-to-Head Benchmarks

The only two head-to-head benchmarks available, both from Geekbench, show overwhelming NVIDIA victories. In Geekbench OpenCL, the RTX 5070 Mobile scores 122,238 against the Arc A370M’s 29,676, a delta of 311.9%. This benchmark stresses general-purpose compute using OpenCL, and the result highlights the RTX 5070 Mobile’s superior shading unit count and memory bandwidth. The Geekbench Vulkan test tells a similar story: 116,960 for NVIDIA versus 28,673 for Intel, a 307.9% margin. Vulkan is a low-overhead API commonly used in modern games, so this score is a strong predictor of gaming performance in titles like Doom Eternal or Control.

To contextualize these scores, the RTX 5070 Mobile’s average benchmark score of 29,928 places it in direct competition with the NVIDIA GeForce RTX 3070 Ti, which averages 29,945 (a 0.1% difference), and the AMD Radeon RX 6800 at 30,095 (0.6% behind). This means the RTX 5070 Mobile outperforms the older desktop RTX 2080 Ti, which scores 29,783, by 0.5%. The Intel Arc A370M, with an average of 29,175, is nearly identical to the AMD Radeon RX Vega M GH (29,197, 0.1% behind) and the AMD FirePro W8000 (29,211, 0.1% behind). It also edges out the AMD Radeon RX 470 (28,996) by 0.6% and the AMD Radeon RX 6800M (28,874) by 1%. These figures demonstrate that the Arc A370M, despite being an entry-level mobile part, competes with mid-range desktop GPUs from several generations ago.

The gap between the two GPUs in the Geekbench tests is so large that no other benchmark data is needed to establish a hierarchy. The RTX 5070 Mobile’s lowest recorded score in other tests (e.g., Passmark DirectX 12 at 93) is not directly comparable to the Arc A370M, which lacks those scores in the data pack. However, the head-to-head results are unambiguous: the NVIDIA part is over three times faster in both OpenCL and Vulkan.

FAQ

Q: Which GPU has a higher average benchmark score?

A: The NVIDIA GeForce RTX 5070 Mobile has an average benchmark score of 29,928, while the Intel Arc A370M averages 29,175. The NVIDIA part is marginally ahead by about 2.6%.

Q: How do the two GPUs compare in Geekbench OpenCL?

A: The RTX 5070 Mobile scores 122,238, which is 311.9% higher than the Arc A370M’s 29,676. This indicates a massive advantage in OpenCL compute tasks.

Q: What is the memory configuration difference?

A: The RTX 5070 Mobile has 8 GB of GDDR7 memory on a 128-bit bus with 384.0 GB/s bandwidth, whereas the Arc A370M has 4 GB of GDDR6 on a 64-bit bus with 112.0 GB/s.

Q: Which GPU is more power-efficient?

A: The Intel Arc A370M has a TDP of 35 W, compared to the RTX 5070 Mobile’s 50 W. This makes the Intel part more suitable for compact laptops with limited cooling.

Q: Are there differences in ray tracing capabilities?

A: Yes, the RTX 5070 Mobile has 36 ray tracing cores, while the Arc A370M has only 8. The NVIDIA part also includes 144 tensor cores for AI acceleration, which the Intel GPU lacks.

Q: What is the production status of each GPU?

A: The NVIDIA GeForce RTX 5070 Mobile is listed as "Active," and was released on 2025-04-14. The Intel Arc A370M is marked as "End-of-life," with a release date of 2022-03-29.

Specification Differences

The following table highlights the key specifications where the two GPUs differ, based on the FACT PACK data:

| Specification | NVIDIA GeForce RTX 5070 Mobile | Intel Arc A370M |

|---|---|---|

| Architecture | Blackwell 2.0 | Xe-HPG |

| Process Node | 5 nm | 6 nm |

| Transistors | 21,900 million | 7,200 million |

| Die Size | 181 mm² | 157 mm² |

| Transistor Density | 121.0M / mm² | 45.9M / mm² |

| Base Clock | 907 MHz | 1550 MHz |

| Boost Clock | 1425 MHz | 2050 MHz |

| Memory Size | 8 GB | 4 GB |

| Memory Type | GDDR7 | GDDR6 |

| Memory Bus Width | 128 bit | 64 bit |

| Memory Bandwidth | 384.0 GB/s | 112.0 GB/s |

| Shading Units | 4608 | 1024 |

| TMUs | 144 | 64 |

| ROPs | 48 | 32 |

| RT Cores | 36 | 8 |

| Tensor Cores | 144 | null |

| Pixel Rate | 68.40 GPixel/s | 65.60 GPixel/s |

| Texture Rate | 205.2 GTexel/s | 131.2 GTexel/s |

| FP32 Performance | 13.13 TFLOPS | 4.198 TFLOPS |

| FP16 Performance | 13.13 TFLOPS (1:1) | 8.397 TFLOPS (2:1) |

| TDP | 50 W | 35 W |

| Bus Interface | PCIe 5.0 x16 | PCIe 4.0 x8 |

| Memory Clock | 1500 MHz (24 Gbps effective) | 1750 MHz (14 Gbps effective) |

| Production Status | Active | End-of-life |

| Release Date | 2025-04-14 | 2022-03-29 |