NVIDIA GeForce MX570 vs NVIDIA T1000 Comparison

The NVIDIA GeForce MX570 and NVIDIA T1000 represent two distinct approaches to mobile and compact professional graphics. The MX570, built on the newer Ampere architecture, is a low-power integrated processor for thin-and-light portables, while the T1000 is a Turing-based workstation card designed for desktop workstations. Benchmark data shows they are remarkably close in raw OpenCL performance, yet their architectural philosophies and target use cases diverge significantly. The MX570 edges ahead in the single available head-to-head benchmark, but the T1000 counters with double the memory and a wider memory bus, making the choice highly workload-dependent.

Where Each One Wins

The NVIDIA GeForce MX570 wins on raw compute efficiency and modern feature support. In the Geekbench OpenCL test, it scores 38,299, narrowly beating the T1000’s 37,704 by 1.6%. This makes it the winner of the only direct head-to-head benchmark available. Its Ampere architecture brings 16 RT cores and 64 tensor cores, enabling hardware-accelerated ray tracing and AI workloads—features entirely absent from the T1000. For users running OpenCL-heavy applications that can leverage these modern capabilities, the MX570 is the stronger performer.

The NVIDIA T1000 wins on memory capacity, bandwidth, and practical workstation usability. It offers 4 GB of GDDR6 memory—double the MX570’s 2 GB—on a 128-bit bus, yielding 160.0 GB/s of bandwidth versus the MX570’s 96.00 GB/s. This is a decisive advantage for large datasets, high-resolution textures, or multi-monitor professional workflows. The T1000 also provides four physical mini-DisplayPort 1.4a outputs, compared to the MX570’s portable-device-dependent outputs, making it a ready-to-deploy solution for desktop workstations. Its 50 W TDP, while higher than the MX570’s 15 W, is still modest and requires no external power connectors.

Architecture Differences

The two GPUs are built on fundamentally different architectures and process nodes. The MX570 uses the GA107S chip on Ampere architecture, fabricated on Samsung’s 8 nm process. It packs 8,700 million transistors into a 200 mm² die, achieving a transistor density of 43.5M per mm². The T1000 uses the TU117 chip on Turing architecture, built on TSMC’s 12 nm process, with 4,700 million transistors in the same 200 mm² die area, yielding a density of 23.5M per mm². This means the MX570 has nearly double the transistor density, a direct result of the newer process node.

The compute configurations differ sharply. The MX570 features 2,048 shading units, 64 TMUs, and 32 ROPs, while the T1000 has 896 shading units, 56 TMUs, and 32 ROPs. The MX570’s shading-unit count is more than double the T1000’s, explaining its higher FP32 throughput of 4.731 TFLOPS versus 2.500 TFLOPS. However, the T1000 has a unique advantage in FP16: it delivers 5.000 TFLOPS at a 2:1 ratio, whereas the MX570 matches its FP32 rate at 4.731 TFLOPS (1:1). The T1000 also includes RT cores and tensor cores, which the MX570 lacks entirely—a critical distinction for ray-traced or AI-accelerated workloads.

Clock speeds favor the T1000, with a base of 1065 MHz and boost of 1395 MHz, versus the MX570’s 832 MHz base and 1155 MHz boost. Yet the MX570 compensates with far more execution units. Memory clocks also differ: the MX570 runs at 1500 MHz (12 Gbps effective) while the T1000 runs at 1250 MHz (10 Gbps effective), but the T1000’s wider 128-bit bus gives it the bandwidth advantage.

Head-to-Head Benchmarks

The only direct comparison available is the Geekbench OpenCL test. Here, the MX570 scores 38,299, and the T1000 scores 37,704. The MX570 wins by 1.6%. This is a narrow margin, suggesting that in pure compute throughput, the two GPUs are nearly equivalent despite their architectural differences. The MX570’s higher shading-unit count and FP32 performance (4.731 TFLOPS) appear to offset the T1000’s higher clocks and memory bandwidth in this workload.

Looking at broader context, the MX570’s average benchmark score is 38,299, placing it in the 81st percentile of all GPUs. The T1000’s average score is 36,289 (accounting for its Vulkan result as well), placing it in the 80th percentile. This one-percentile difference underscores their parity. The MX570’s nearest rivals include the RTX 5080 Mobile (38,349, a -0.1% delta) and RTX 4080 Mobile (38,135, a +0.4% delta), showing it sits squarely in premium laptop territory. The T1000’s rivals include the Radeon RX 5300M (36,529, -0.7%) and GTX TITAN X (36,530, -0.7%), indicating it competes with older high-end desktop parts.

The Vulkan benchmark is only available for the T1000, scoring 34,874. This suggests the T1000 can leverage modern graphics APIs effectively, though without an MX570 result for comparison, its relative Vulkan performance remains unknown.

FAQ

Q: Which GPU has higher raw compute performance?

A: The MX570 has higher FP32 throughput at 4.731 TFLOPS versus the T1000’s 2.500 TFLOPS. This is reflected in the Geekbench OpenCL result, where the MX570 scores 38,299 against the T1000’s 37,704, a 1.6% lead.

Q: Does the T1000 have any performance advantage?

A: Yes, in FP16 compute. The T1000 delivers 5.000 TFLOPS at a 2:1 ratio, while the MX570 provides 4.731 TFLOPS at 1:1. For workloads using half-precision, the T1000 is faster.

Q: Which GPU has more memory and bandwidth?

A: The T1000. It offers 4 GB of GDDR6 memory on a 128-bit bus with 160.0 GB/s bandwidth. The MX570 has 2 GB on a 64-bit bus with 96.00 GB/s. This makes the T1000 better suited for memory-intensive tasks.

Q: Can either GPU handle ray tracing?

A: Only the MX570. It includes 16 RT cores and 64 tensor cores from the Ampere architecture. The T1000 has no RT or tensor cores, limiting it to traditional rasterization workloads.

Q: What are the physical and power differences?

A: The MX570 is an integrated GPU (IGP) with a 15 W TDP and no power connectors, designed for portables. The T1000 is a single-slot card measuring 156 mm by 69 mm, with a 50 W TDP, no power connectors, and a suggested PSU of 250 W.

Q: Which GPU supports more display outputs?

A: The T1000, with four mini-DisplayPort 1.4a outputs. The MX570’s outputs are listed as “Portable Device Dependent,” meaning they vary by laptop design.

Specification Differences

| Specification | NVIDIA GeForce MX570 | NVIDIA T1000 |

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

| Architecture | Ampere | Turing |

| Process Node | 8 nm (Samsung) | 12 nm (TSMC) |

| Transistors | 8,700 million | 4,700 million |

| Transistor Density | 43.5M / mm² | 23.5M / mm² |

| Base Clock | 832 MHz | 1065 MHz |

| Boost Clock | 1155 MHz | 1395 MHz |

| Memory Clock | 1500 MHz (12 Gbps effective) | 1250 MHz (10 Gbps effective) |

| Memory Size | 2 GB | 4 GB |

| Memory Bus | 64 bit | 128 bit |

| Bandwidth | 96.00 GB/s | 160.0 GB/s |

| Shading Units | 2048 | 896 |

| TMUs | 64 | 56 |

| ROPs | 32 | 32 |

| RT Cores | 16 | None |

| Tensor Cores | 64 | None |

| Pixel Rate | 36.96 GPixel/s | 44.64 GPixel/s |

| Texture Rate | 73.92 GTexel/s | 78.12 GTexel/s |

| FP32 | 4.731 TFLOPS | 2.500 TFLOPS |

| FP16 | 4.731 TFLOPS (1:1) | 5.000 TFLOPS (2:1) |

| TDP | 15 W | 50 W |

| Slot Width | IGP | Single-slot |

| Suggested PSU | None | 250 W |

| Bus Interface | PCIe 4.0 x8 | PCIe 3.0 x16 |

| Display Outputs | Portable Device Dependent | 4x mini-DisplayPort 1.4a |

| Dimensions | N/A | 156 mm (6.1 in) x 69 mm (2.7 in) |

| DirectX Support | 12 Ultimate (12_2) | 12 (12_1) |

| Vulkan Support | 1.4 | 1.4 |

| Release Date | 2021-12-16 | 2021-05-05 |

| Predecessor | None | Quadro Volta |

| Successor | None | Workstation Ampere |

| Geekbench OpenCL | 38,299 | 37,704 |

| Geekbench Vulkan | N/A | 34,874 |

| Percentile vs All GPUs | 81st | 80th |