NVIDIA T600 Mobile vs NVIDIA Tesla P4 Comparison

Head-to-Head Benchmarks

The benchmark data for these two NVIDIA professional GPUs tells a story of split victories. In the Geekbench OpenCL test, the NVIDIA T600 Mobile edges out the Tesla P4 with a score of 35,486 against 34,947, a margin of 1.5%. That is a narrow win, almost within noise, but it does show the Turing-based mobile part holding its own in a compute workload that favors raw parallelism.

The Geekbench Vulkan test flips the script dramatically. Here the Tesla P4 scores 40,309, while the T600 Mobile trails at 30,211. That is a 33.4% advantage for the Pascal card, a massive gap that highlights how differently these two architectures handle API-specific workloads. The Vulkan result is the single largest differentiator in this comparison, and it is not close.

When looking at the average benchmark score across both tests, the Tesla P4 lands at 37,628, which places it in the 81st percentile of all GPUs in the database. The T600 Mobile averages 32,849, putting it in the 77th percentile. The P4's nearest rivals include the GeForce RTX 4070 at 37,648 (0.1% higher) and the RTX 4080 Mobile at 38,135 (1.3% higher), while the T600 Mobile sits near the P104-100 at 32,982 (0.4% lower) and the T550 Mobile at 33,161 (0.9% higher). These percentile rankings show both cards are solidly mid-to-upper tier, but the P4's average score is roughly 14.5% higher than the T600 Mobile's, a substantial overall performance lead.

The head-to-head record is one win apiece. The T600 Mobile takes OpenCL, the Tesla P4 takes Vulkan. But the magnitude of those wins matters: the P4's Vulkan victory is over twenty times larger percentage-wise than the T600 Mobile's OpenCL edge. Any workload that leans on Vulkan will see a decisive advantage for the Pascal card.

Where Each One Wins

The T600 Mobile wins in OpenCL compute tasks. Its 35,486 score versus the P4's 34,947 indicates that for general-purpose GPU compute using the OpenCL API, the Turing card is slightly ahead. This could translate to better performance in applications that use OpenCL for acceleration, such as certain video encoding filters, physics simulations, or database processing tasks. The margin is small, though, so this is not a clear-cut recommendation for one card over the other in this category.

The Tesla P4 wins decisively in Vulkan workloads. The 33.4% advantage in the Vulkan test is the headline number here. Vulkan is increasingly used in professional visualization, CAD, and real-time rendering pipelines, and the P4's 40,309 score suggests it handles these tasks with significantly more headroom. For anyone running Vulkan-based renderers or game engines in a professional context, the P4 is the obvious choice from this data.

In terms of raw compute throughput, the specification sheet reinforces the P4's overall lead. The P4 delivers 5.704 TFLOPS of FP32 performance, more than double the T600 Mobile's 2.527 TFLOPS. The P4 also has a higher pixel rate at 71.30 GPixel/s versus 45.12 GPixel/s, and a higher texture rate at 178.2 GTexel/s versus 78.96 GTexel/s. These numbers are not from the benchmark suite, but they align with the observed average score gap and explain why the P4 is the stronger performer in most scenarios.

Architecture Differences

The Tesla P4 uses the GP104 chip built on the Pascal architecture, produced on a 16 nm process at TSMC. It packs 7,200 million transistors onto a 314 mm² die, giving a transistor density of 22.9M per mm². The T600 Mobile uses the TU117 chip on the Turing architecture, fabricated on a 12 nm process, also at TSMC. It has 4,700 million transistors on a 200 mm² die, with a slightly higher transistor density of 23.5M per mm².

The P4's Pascal architecture is older, but it was a high-end design in its day. The GP104 chip includes 2,560 shading units, 160 texture mapping units, and 64 ROPs. The T600 Mobile's TU117 is a smaller, lower-tier Turing chip with 896 shading units, 56 TMUs, and 32 ROPs. Neither card has ray tracing cores or tensor cores, so those features are absent from both.

Memory configurations diverge sharply. The P4 has 8 GB of GDDR5 on a 256-bit bus, delivering 192.3 GB/s of bandwidth. The T600 Mobile has 4 GB of GDDR6 on a 128-bit bus, delivering 192.0 GB/s. Despite the newer memory type and higher effective clock speed (12 Gbps versus 6 Gbps), the T600 Mobile's narrower bus keeps its bandwidth nearly identical to the P4. That is a critical detail: bandwidth is essentially the same, but the P4 has twice the VRAM capacity.

Clock speeds tell a different story. The T600 Mobile boosts to 1410 MHz, well above the P4's 1114 MHz boost. The Turing card also has a lower base clock at 780 MHz versus 886 MHz, but the boost behavior favors the mobile part. FP16 performance is another stark contrast: the T600 Mobile delivers 5.053 TFLOPS with a 2:1 ratio, while the P4 manages only 89.12 GFLOPS at a 1:64 ratio. The Turing architecture clearly handles FP16 much more efficiently, though this matters less for typical professional workloads that rely on FP32.

Form factor and power are major architectural differentiators. The P4 is a single-slot card with a 75 W TDP, requiring no external power connectors and a suggested 250 W PSU. It has no display outputs, making it a pure compute accelerator. The T600 Mobile is an IGP (integrated graphics processor) with a 40 W TDP, also requiring no power connectors, and its display outputs are listed as "Portable Device Dependent," meaning it is designed for laptops or all-in-one systems. Both use PCIe 3.0 x16 interfaces, and both support DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4.

The Verdict

The data points to a clear split decision based on workload. For Vulkan-centric applications, the Tesla P4 is the superior choice by a wide margin, delivering 33.4% higher performance in that benchmark. Its larger 8 GB memory pool and higher FP32 throughput (5.704 TFLOPS) make it the stronger all-around compute card for rendering, simulation, or any task that can leverage Vulkan. The P4's 81st percentile ranking and average score of 37,628 confirm it sits in a higher performance tier overall.

For OpenCL-based workloads, the T600 Mobile takes a narrow win, 35,486 versus 34,947. That 1.5% edge is real but marginal. The T600 Mobile also offers superior FP16 performance (5.053 TFLOPS versus 89.12 GFLOPS) and a higher boost clock (1410 MHz versus 1114 MHz), which could matter for specific mixed-precision tasks. Its 40 W TDP makes it far more power-efficient, and its IGP form factor means it fits in mobile platforms.

Who should pick which? If the task involves desktop compute, server acceleration, or any Vulkan-heavy pipeline, the Tesla P4 is the answer. Its 8 GB VRAM, higher raw throughput, and dominant Vulkan score make it the more capable accelerator. If the task is mobile, power-constrained, or heavily OpenCL-dependent, the T600 Mobile is the practical choice despite its lower overall performance. The T600's 4 GB memory and narrower bus are limiting factors, but its efficiency and form factor may be the deciding criteria in a laptop deployment.

Neither card is current; both are end-of-life products. The P4 was released in September 2016, while the T600 Mobile came in April 2021. The P4 is part of the Tesla Pascal generation, succeeding Tesla Maxwell and preceding Tesla Volta. The T600 Mobile belongs to the Quadro Turing-M family, succeeding Quadro Pascal-M and preceding Ampere-MW. For anyone building a system today, these are legacy options, but the benchmark data shows the older Pascal card still holds a meaningful performance edge in key metrics.

FAQ

Q: Which GPU has the higher average benchmark score?

A: The NVIDIA Tesla P4 averages 37,628 across its recorded benchmarks, compared to 32,849 for the NVIDIA T600 Mobile. The P4 sits in the 81st percentile of all GPUs, while the T600 Mobile is in the 77th percentile.

Q: How large is the Vulkan performance gap between the two cards?

A: The Tesla P4 scores 40,309 in Geekbench Vulkan, while the T600 Mobile scores 30,211. That gives the P4 a 33.4% advantage, the largest single gap in the head-to-head comparison.

Q: Does the T600 Mobile win any benchmark?

A: Yes, the T600 Mobile wins the Geekbench OpenCL test with a score of 35,486 against the Tesla P4's 34,947, a 1.5% margin.

Q: What are the memory specifications for each card?

A: The Tesla P4 has 8 GB of GDDR5 on a 256-bit bus with 192.3 GB/s bandwidth. The T600 Mobile has 4 GB of GDDR6 on a 128-bit bus with 192.0 GB/s bandwidth. The effective memory clock is 6 Gbps for the P4 and 12 Gbps for the T600 Mobile.

Q: Which card has higher FP32 compute performance?

A: The Tesla P4 delivers 5.704 TFLOPS of FP32, more than double the T600 Mobile's 2.527 TFLOPS. However, the T600 Mobile has far stronger FP16 performance at 5.053 TFLOPS, while the P4 manages only 89.12 GFLOPS.

Q: What are the power requirements for each GPU?

A: The Tesla P4 has a 75 W TDP and requires a 250 W suggested PSU, with no external power connectors. The T600 Mobile has a 40 W TDP and no power connectors, but no suggested PSU is listed.

Specification Differences

| Field | NVIDIA Tesla P4 | NVIDIA T600 Mobile |

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

| Chip | GP104 | TU117 |

| Architecture | Pascal | Turing |

| Process Node | 16 nm | 12 nm |

| Transistors | 7,200 million | 4,700 million |

| Die Size | 314 mm² | 200 mm² |

| Transistor Density | 22.9M / mm² | 23.5M / mm² |

| Base Clock | 886 MHz | 780 MHz |

| Boost Clock | 1114 MHz | 1410 MHz |

| Memory Size | 8 GB | 4 GB |

| Memory Type | GDDR5 | GDDR6 |

| Memory Bus Width | 256 bit | 128 bit |

| Memory Bandwidth | 192.3 GB/s | 192.0 GB/s |

| Memory Clock | 1502 MHz, 6 Gbps effective | 1500 MHz, 12 Gbps effective |

| Shading Units | 2560 | 896 |

| TMUs | 160 | 56 |

| ROPs | 64 | 32 |

| Pixel Rate | 71.30 GPixel/s | 45.12 GPixel/s |

| Texture Rate | 178.2 GTexel/s | 78.96 GTexel/s |

| FP32 Performance | 5.704 TFLOPS | 2.527 TFLOPS |

| FP16 Performance | 89.12 GFLOPS (1:64) | 5.053 TFLOPS (2:1) |

| TDP | 75 W | 40 W |

| Slot Width | Single-slot | IGP |

| Display Outputs | No outputs | Portable Device Dependent |

| Suggested PSU | 250 W | None |

| Release Date | 2016-09-12 | 2021-04-11 |

| Predecessor | Tesla Maxwell | Quadro Pascal-M |

| Successor | Tesla Volta | Ampere-MW |