Intel Arc A350M vs NVIDIA GeForce RTX 5050 Comparison

The Intel Arc A350M and the NVIDIA GeForce RTX 5050 sit at opposite ends of the GPU spectrum in the database, and the recorded data reflects that distance plainly. The A350M is an integrated-class Alchemist part built on the DG2-128 chip, drawing a modest 25 W and now flagged as end-of-life. The RTX 5050 is an active Blackwell 2.0 desktop card with a 130 W TDP, a 300 W suggested PSU, and a launch MSRP of 249 USD. Where the two overlap directly is in Geekbench compute testing, and there the gap is enormous: the RTX 5050 wins both head-to-head comparisons with margins exceeding 72 percent. What follows unpacks the numbers, the context around them, and the architectural gulf that explains them.

Head-to-Head Benchmarks

The database contains exactly two direct head-to-head comparisons between these GPUs, and both go to NVIDIA in a rout.

In Geekbench OpenCL, the Intel Arc A350M scores 24546 while the NVIDIA GeForce RTX 5050 scores 90334. That is a delta of -72.8 percent from the A350M's perspective, meaning the RTX 5050 delivers roughly three and a half times the compute throughput in this workload. The picture repeats almost identically in Geekbench Vulkan: 24747 for the Arc A350M against 89381 for the RTX 5050, a -72.3 percent gap. Consistency across two different APIs (OpenCL and Vulkan) indicates the shortfall is not a driver or API quirk but a fundamental difference in hardware capability. The A350M wins zero of the two head-to-head tests; the RTX 5050 wins both.

For additional context, the RTX 5050's broader benchmark record in the database includes a 3DMark Steel Nomad DX12 score of 2502, a PassMark G3D score of 17326, a PassMark GPU Compute score of 9184, and a PassMark G2D score of 1113. Its PassMark DirectX results span 186 in DirectX 9, 150 in DirectX 11, 103 in DirectX 10, and 66 in DirectX 12. The A350M has only the two Geekbench entries recorded, which limits direct comparison to the compute suite.

One nuance worth flagging: the database's average benchmark scores tell a counterintuitive story. The A350M carries an average of 24647, which is higher than the RTX 5050's average of 21035, yet the RTX 5050 dominates every shared test. This is an artifact of the different test mixes each card has recorded, not evidence of A350M superiority. On the tests where both cards actually compete, the RTX 5050 is untouchable here.

Percentile placement adds another layer. Against all GPUs in the database, the A350M ranks at the 70th percentile and the RTX 5050 at the 66th. Those figures again reflect the composition of each card's recorded results, but the head-to-head data remains decisive: in like-for-like measurement, the RTX 5050 leads by more than 72 percent every time.

The Verdict

The data does not present a contest. It presents two products designed for different jobs.

If the workload is GPU compute, whether OpenCL or Vulkan, the RTX 5050 is the only sensible choice of the pair. Its 90334 OpenCL score and 89381 Vulkan score dwarf the A350M's 24546 and 24747. Its raw specifications reinforce the same conclusion: 2560 shading units versus 768, 13.17 TFLOPS of FP32 versus 3.379 TFLOPS, 20 RT cores versus 6, and 80 tensor cores versus none recorded on the Intel part.

The A350M's case rests entirely on platform characteristics rather than performance. It is an IGP-slot part with a 25 W TDP and no power connectors, suited to thin mobile systems where a 130 W dual-slot desktop card with a required 8-pin connector simply cannot fit. Buyers choosing between them are in practice choosing between a mobile integrated-class solution and a desktop discrete card, and the benchmark record says the desktop card wins every measurable contest.

Where Each One Wins

The RTX 5050 wins everywhere performance is measured. Geekbench OpenCL: 90334 versus 24546, a 72.8 percent advantage. Geekbench Vulkan: 89381 versus 24747, a 72.3 percent advantage. Backing these up are specification advantages across every dimension the database records: double the memory capacity (8 GB versus 4 GB), nearly triple the memory bandwidth (320.0 GB/s versus 112.0 GB/s), a wider 128-bit bus versus 64-bit, faster effective memory at 20 Gbps versus 14 Gbps, a higher pixel rate (82.30 GPixel/s versus 52.80 GPixel/s), and a higher texture rate (205.8 GTexel/s versus 105.6 GTexel/s). It also carries 80 TMUs against 48 and 32 ROPs against 24.

The A350M wins on none of the recorded performance metrics. Its advantages are structural: a 25 W TDP that runs without external power, an IGP form factor, and a PCIe 4.0 x8 interface intended for integrated mobile platforms. It also supports the same modern API tier as the RTX 5050, with DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, so software compatibility is not a differentiator between them. For any build where the GPU must live inside the power and space envelope of a portable machine, the A350M is the only one of the two that qualifies. For everything else, the RTX 5050's results speak for themselves.

FAQ

Q: How much faster is the RTX 5050 than the Arc A350M in Geekbench OpenCL?

A: The RTX 5050 scores 90334 versus the A350M's 24546, a gap of 72.8 percent in NVIDIA's favor, roughly three and a half times the throughput.

Q: Does the Arc A350M win any head-to-head benchmark against the RTX 5050?

A: No. The database records two shared tests, Geekbench OpenCL and Geekbench Vulkan, and the RTX 5050 wins both, by 72.8 percent and 72.3 percent respectively.

Q: How much more power does the RTX 5050 need?

A: The RTX 5050 has a 130 W TDP, requires one 8-pin power connector, and carries a suggested PSU rating of 300 W. The A350M has a 25 W TDP, no power connectors, and no suggested PSU requirement.

Q: What memory does each GPU have?

A: The RTX 5050 has 8 GB of GDDR6 on a 128-bit bus at 20 Gbps effective, delivering 320.0 GB/s. The A350M has 4 GB of GDDR6 on a 64-bit bus at 14 Gbps effective, delivering 112.0 GB/s.

Q: Which GPUs are the closest rivals to each card in the database?

A: The A350M's nearest rivals include the AMD Radeon RX 590 (within 0.4 percent), the NVIDIA RTX A5000 Mobile (within 0.5 percent), the AMD Radeon RX 6600 XT (0.8 percent behind the A350M's average), and the NVIDIA GeForce GTX 1630 (1.5 percent behind). The RTX 5050's average sits close to the AMD Radeon RX Vega M GL, the AMD Radeon HD 8970M, the AMD Radeon RX 5600 XT, and the NVIDIA RTX A4000 Mobile.

Q: Are both cards still in production?

A: No. The Arc A350M is flagged as end-of-life, having launched on March 29, 2022. The RTX 5050 is active, with a release date of June 30, 2025.

Architecture Differences

The architectural distance between these two is generational and categorical at once.

The Arc A350M is Intel's Alchemist generation, specifically the Arc 3 Mobile tier, built on the Xe-HPG architecture and the DG2-128 chip. It was fabricated by TSMC on a 6 nm process, packs 7,200 million transistors into a 157 mm² die, and reaches a density of 45.9M transistors per mm². It carries 768 shading units, 48 TMUs, 24 ROPs, and 6 RT cores, with no tensor cores recorded. Clocks run from a 1150 MHz base to a 2200 MHz boost. It connects over PCIe 4.0 x8 and its display output is portable-device dependent, consistent with its integrated mobile role.

The RTX 5050 belongs to NVIDIA's GeForce 50 series on the Blackwell 2.0 architecture, using the GB207 chip. Also fabricated by TSMC, it uses a newer 5 nm process and achieves far higher integration: 16,900 million transistors on a slightly smaller 149 mm² die, yielding 113.4M transistors per mm², roughly two and a half times the A350M's density. Its resource counts scale accordingly: 2560 shading units, 80 TMUs, 32 ROPs, 20 RT cores, and 80 tensor cores. Clocks are considerably higher as well, with a 2317 MHz base and a 2572 MHz boost. The interface is PCIe 5.0 x8, and the card provides one HDMI 2.1b output alongside three DisplayPort 2.1b outputs in a dual-slot desktop form factor.

Precision behavior also differs in a way that matters for compute workloads. The A350M lists 3.379 TFLOPS of FP32 and 6.758 TFLOPS of FP16 at a 2:1 ratio, doubling throughput in half precision. The RTX 5050 lists 13.17 TFLOPS for both FP32 and FP16 at a 1:1 ratio, meaning its FP16 rate matches its already dominant FP32 output rather than exceeding it. In practical terms the RTX 5050 holds nearly a fourfold FP32 advantage and roughly a twofold FP16 advantage, which lines up closely with the roughly 72 percent compute gaps recorded in the Geekbench head-to-head results.

Both cards support the same API ceiling, DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, so neither holds a software feature advantage in the database record. The difference is purely in execution resources, process node, clocks, memory subsystem, and power envelope. On all of those counts, the RTX 5050 is the substantially larger, faster, more modern design, and the benchmark data confirms it without ambiguity.