NVIDIA GeForce RTX 4070 Ti SUPER vs NVIDIA Tesla M60 Comparison

NVIDIA GeForce RTX 4070 Ti SUPER and NVIDIA Tesla M60 represent two completely different eras of GPU design and purpose. The RTX 4070 Ti SUPER is a modern consumer-facing graphics card built for high-end gaming and real-time rendering, while the Tesla M60 is a datacenter-oriented compute accelerator from a previous generation. Benchmark data shows the RTX 4070 Ti SUPER is overwhelmingly faster in the available head-to-head tests, but the Tesla M60 still holds a niche in legacy virtualized workloads. This analysis breaks down the measurable differences and what they mean for your build.

Head-to-Head Benchmarks

The two GPUs share only two common benchmark results in the data: Geekbench OpenCL and Geekbench Vulkan. In both cases, the RTX 4070 Ti SUPER dominates by a massive margin. The most striking result is in Geekbench OpenCL, where the RTX 4070 Ti SUPER scores 199,267 points against the Tesla M60’s 29,506 points. That is a delta of 575.3% in favor of the newer card — a more than six-fold advantage in raw compute throughput. This magnitude of difference reflects the generational leap between the two architectures, not just a simple clock speed advantage.

In Geekbench Vulkan, the gap narrows but remains decisive. The RTX 4070 Ti SUPER scores 53,683 points, while the Tesla M60 manages 31,473 points. The 70.6% delta here shows that while the newer card is still far ahead, the older Maxwell architecture does not collapse as badly in API-specific tests as it does in general compute. Still, the result is unambiguous: the RTX 4070 Ti SUPER wins both head-to-head tests, giving it a 2–0 record in this comparison.

Looking at the broader benchmark context, the RTX 4070 Ti SUPER’s average benchmark score is 31,087, which places it at the 76th percentile of all GPUs. Its nearest rival, the NVIDIA Quadro M5000, scores 31,206 — a difference of only -0.4%, meaning the two cards are effectively neck-and-neck in aggregate performance. The Tesla M60, by contrast, has an average score of 30,490, putting it at the 75th percentile. Its closest competitor, the NVIDIA CMP 70HX, scores 30,476, a 0% delta. This tells you that while the RTX 4070 Ti SUPER is faster, the Tesla M60 is not an outlier — it sits right in the middle of its own performance tier.

Where Each One Wins

The RTX 4070 Ti SUPER wins in every measurable category from the data. Its Geekbench OpenCL score of 199,267 is not just higher — it is in a completely different performance class. For workloads that rely on general-purpose GPU compute, such as machine learning inference, video encoding, or scientific simulation, the RTX 4070 Ti SUPER is the only rational choice. Its Geekbench Vulkan score of 53,683 also makes it the stronger option for modern graphics APIs, which are increasingly common in both games and professional visualization tools.

The Tesla M60, despite losing both head-to-head tests, still has a use case. Its Geekbench Vulkan score of 31,473 is respectable, and its average benchmark score of 30,490 is only 1.9% behind the RTX 4070 Ti SUPER’s nearest rival, the NVIDIA TITAN RTX. This suggests that in legacy DirectX 12 or Vulkan workloads that are not heavily multi-threaded, the Tesla M60 can hold its own. Its dual-slot design and 8 GB of GDDR5 memory also make it suitable for virtual desktop infrastructure or cloud gaming environments where the workload is split across many small sessions rather than one demanding task.

However, there is no scenario in the data where the Tesla M60 wins outright. The RTX 4070 Ti SUPER’s 575.3% lead in OpenCL is insurmountable for any compute-heavy application. If your workload is single-user and performance-critical, the Tesla M60 is simply outclassed.

Architecture Differences

The architectural gap between these two cards is vast. The RTX 4070 Ti SUPER uses the AD103 chip built on TSMC’s 5 nm process, featuring 45,900 million transistors on a 379 mm² die. This yields a transistor density of 121.1 million transistors per mm² — a figure that speaks to the density of modern chip design. The Tesla M60, in contrast, uses the GM204 chip on a 28 nm process, with 5,200 million transistors spread across a larger 398 mm² die. Its transistor density is just 13.1 million per mm², a full order of magnitude lower.

The compute capabilities reflect this difference. The RTX 4070 Ti SUPER packs 8,448 shading units, 264 texture mapping units, and 96 raster output units. It also includes 66 ray tracing cores and 264 tensor cores, making it a fully featured modern GPU for real-time ray tracing and AI-accelerated workloads. The Tesla M60 has 2,048 shading units, 128 TMUs, and 64 ROPs, with no ray tracing or tensor cores at all. Its FP32 throughput is 4.825 TFLOPS, compared to the RTX 4070 Ti SUPER’s 44.10 TFLOPS — a 9.1x difference in raw floating-point performance.

Memory architecture also diverges significantly. The RTX 4070 Ti SUPER uses 16 GB of GDDR6X on a 256-bit bus, delivering 672.3 GB/s of bandwidth at a memory clock of 1313 MHz (21 Gbps effective). The Tesla M60 has 8 GB of GDDR5 on a 256-bit bus, with 160.4 GB/s of bandwidth at 1253 MHz (5 Gbps effective). The newer card has double the memory capacity and more than four times the bandwidth. The RTX 4070 Ti SUPER also supports DirectX 12 Ultimate (12_2), while the Tesla M60 is limited to DirectX 12 (12_1). Both support OpenGL 4.6 and Vulkan 1.4.

Specification Differences

| Specification | RTX 4070 Ti SUPER | Tesla M60 |

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

| Process node | 5 nm | 28 nm |

| Transistors | 45,900 million | 5,200 million |

| Die size | 379 mm² | 398 mm² |

| Base clock | 2340 MHz | 557 MHz |

| Boost clock | 2610 MHz | 1178 MHz |

| Memory size | 16 GB | 8 GB |

| Memory type | GDDR6X | GDDR5 |

| Memory bandwidth | 672.3 GB/s | 160.4 GB/s |

| Shading units | 8448 | 2048 |

| TMUs | 264 | 128 |

| ROPs | 96 | 64 |

| RT cores | 66 | None |

| Tensor cores | 264 | None |

| FP32 | 44.10 TFLOPS | 4.825 TFLOPS |

| TDP | 285 W | 300 W |

| Slot width | Triple-slot | Dual-slot |

| Power connector | 1x 16-pin | 1x 8-pin |

| Suggested PSU | 600 W | 700 W |

| Bus interface | PCIe 4.0 x16 | PCIe 3.0 x16 |

| Display outputs | 1x HDMI 2.1, 3x DisplayPort 1.4a | No outputs |

| Release date | 2024-01-23 | 2015-08-29 |

The RTX 4070 Ti SUPER is smaller in die area but vastly denser, and it runs at much higher clocks — a 2340 MHz base versus 557 MHz. The Tesla M60 actually has a higher TDP at 300 W, despite being massively slower, which highlights the efficiency gains of the 5 nm process. The RTX 4070 Ti SUPER also has display outputs, making it usable as a standard graphics card, while the Tesla M60 is compute-only.

FAQ

Q: Which GPU is faster in synthetic benchmarks?

A: The RTX 4070 Ti SUPER wins both available head-to-head tests. It scores 199,267 in Geekbench OpenCL versus 29,506 for the Tesla M60, and 53,683 in Geekbench Vulkan versus 31,473. The deltas are 575.3% and 70.6%, respectively.

Q: Can the Tesla M60 handle modern games?

A: The data does not support this. The Tesla M60 maxes out at DirectX 12 (12_1), lacks ray tracing and tensor cores, and has no display outputs. Its Geekbench Vulkan score of 31,473 is far below the RTX 4070 Ti SUPER’s 53,683, indicating it will struggle with modern API-heavy titles.

Q: What is the memory capacity difference?

A: The RTX 4070 Ti SUPER has 16 GB of GDDR6X memory, while the Tesla M60 has 8 GB of GDDR5. Memory bandwidth is 672.3 GB/s versus 160.4 GB/s.

Q: Which card has better compute performance?

A: The RTX 4070 Ti SUPER delivers 44.10 TFLOPS of FP32 compute, compared to 4.825 TFLOPS for the Tesla M60. The Geekbench OpenCL score of 199,267 versus 29,506 confirms this in practice.

Q: Are these cards comparable in power consumption?

A: They are close in TDP. The RTX 4070 Ti SUPER is rated at 285 W, and the Tesla M60 is rated at 300 W. However, the RTX 4070 Ti SUPER is dramatically more efficient given its much higher performance.

Q: Is the Tesla M60 still viable for any workload?

A: For legacy virtualized or multi-session compute tasks, the Tesla M60’s 8 GB of GDDR5 and dual-slot design might fit. Its average benchmark score of 30,490 is competitive with its peers, but it is not suitable for modern single-user high-performance tasks.

The Verdict

The data is clear: the NVIDIA GeForce RTX 4070 Ti SUPER is the superior GPU in every measurable way. Its 575.3% lead in Geekbench OpenCL and 70.6% lead in Geekbench Vulkan make it the only choice for anyone needing raw performance. The RTX 4070 Ti SUPER also offers 16 GB of memory, modern features like ray tracing and tensor cores, and a 76th percentile ranking among all GPUs. Its launch MSRP is 799 USD, and it is an end-of-life product, but it remains a capable performer.

The NVIDIA Tesla M60 is a relic of the Maxwell era. It has no ray tracing, no tensor cores, no display outputs, and its FP32 throughput is 4.825 TFLOPS — less than one-ninth of the RTX 4070 Ti SUPER’s 44.10 TFLOPS. Its only advantage is its dual-slot form factor and lower power connector requirement (1x 8-pin versus 1x 16-pin), but even its TDP is higher at 300 W versus 285 W. Its 75th percentile ranking is respectable for its age, but it is simply not competitive with the newer card.

If you are building a system for gaming, content creation, or any modern compute workload, pick the RTX 4070 Ti SUPER without hesitation. If you are maintaining a legacy datacenter environment that requires Maxwell-based virtual GPU acceleration, the Tesla M60 might have a place — but for any new deployment, the RTX 4070 Ti SUPER is the objectively better investment. The scoreboard reads 2–0, and the margin of victory is not close.