NVIDIA GeForce RTX 3050 Ti Mobile vs NVIDIA Tesla M2090 Comparison

FAQ

Q: Which GPU has the higher average benchmark score?

A: The NVIDIA Tesla M2090 has an average benchmark score of 13,075, while the NVIDIA GeForce RTX 3050 Ti Mobile scores 12,940. The Tesla M2090 leads by 1% in this aggregate metric.

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

A: The RTX 3050 Ti Mobile scores 57,915 in Geekbench OpenCL, versus 13,075 for the Tesla M2090. This represents a 77.4% advantage for the RTX 3050 Ti Mobile, making it the clear winner in this specific benchmark.

Q: What is the transistor density difference between the two chips?

A: The Tesla M2090's GF110 chip has a transistor density of 5.8 million transistors per square millimeter, while the RTX 3050 Ti Mobile's GA106 chip achieves 43.5 million per square millimeter — roughly 7.5 times higher density.

Q: Which GPU supports hardware ray tracing?

A: Only the RTX 3050 Ti Mobile includes dedicated ray tracing capabilities, with 20 RT cores. The Tesla M2090 has no RT cores listed in its specifications.

Q: What are the power requirements for each card?

A: The Tesla M2090 has a 250 W TDP with dual-slot cooling and requires both a 6-pin and an 8-pin power connector, plus a 600 W suggested power supply. The RTX 3050 Ti Mobile has a 75 W TDP, uses an integrated form factor, and needs no external power connectors.

Q: Do both GPUs support the same DirectX version?

A: No. The Tesla M2090 supports DirectX 12 (11_0), while the RTX 3050 Ti Mobile supports DirectX 12 Ultimate (12_2), which includes additional features beyond the baseline 11_0 feature level.

Architecture Differences

The Tesla M2090 is built on the Fermi 2.0 architecture using the GF110 chip, manufactured on a 40 nm process at TSMC. This is a large, power-hungry design: the die measures 520 mm² and contains 3,000 million transistors. The RTX 3050 Ti Mobile, by contrast, uses the Ampere architecture with the GA106 chip, fabricated on Samsung's 8 nm process. Its die is smaller at 276 mm² but packs 12,000 million transistors, resulting in a substantially higher transistor density of 43.5M per mm² versus 5.8M per mm² for the Tesla.

The compute configurations differ dramatically. The Tesla M2090 has 512 shading units, 64 texture mapping units, and 48 render output units. The RTX 3050 Ti Mobile has 2,560 shading units, 80 TMUs, and 32 ROPs. Beyond raw shader counts, the Ampere GPU adds 20 RT cores and 80 tensor cores, which the Fermi-based Tesla completely lacks. These dedicated units enable hardware-accelerated ray tracing and AI-based tasks that are simply not possible on the older architecture.

Memory technology also marks a generational divide. The Tesla uses 6 GB of GDDR5 on a 384-bit bus, delivering 177.4 GB/s of bandwidth. The RTX 3050 Ti Mobile uses 4 GB of GDDR6 on a 128-bit bus, with 192.0 GB/s of bandwidth. Despite having half the bus width, the newer GDDR6 memory at 12 Gbps effective provides slightly higher bandwidth than the older GDDR5 at 3.7 Gbps effective.

Interface support shows the age gap. The Tesla M2090 connects via PCIe 2.0 x16 and has no display outputs — it is a compute-focused card. The RTX 3050 Ti Mobile uses PCIe 4.0 x16 and has portable-device-dependent display outputs. The Tesla supports Vulkan as null in the API list, while the RTX 3050 Ti Mobile supports Vulkan 1.4. Both support OpenGL 4.6, but the RTX 3050 Ti Mobile's DirectX 12 Ultimate (12_2) feature level exceeds the Tesla's DirectX 12 (11_0).

Head-to-Head Benchmarks

The only direct benchmark comparison available is Geekbench OpenCL, and the results are decisive. The RTX 3050 Ti Mobile scores 57,915, while the Tesla M2090 scores 13,075. This gives the RTX 3050 Ti Mobile a 77.4% advantage — a massive margin that reflects the architectural gap of roughly ten years between the two products.

To contextualize this score difference, consider the nearest rivals for each card. The Tesla M2090 sits at percentile 53 among all GPUs, with its average score of 13,075 placing it within 1% of the GeForce GTX 1660 SUPER (12,986) and just 0.9% behind the GeForce GTX 950 (13,189). The RTX 3050 Ti Mobile also sits at percentile 53 with an average score of 12,940, landing within 0.1% of the AMD Radeon RX 580 (12,928) and 0.4% behind the GTX 1660 SUPER.

The interesting nuance is that while the RTX 3050 Ti Mobile dominates the Tesla in the OpenCL workload by 77.4%, their average benchmark scores across all tests are nearly identical (13,075 vs 12,940). This discrepancy suggests that the RTX 3050 Ti Mobile's OpenCL performance is exceptional relative to its overall average, while the Tesla's OpenCL result is more representative of its typical performance. The RTX 3050 Ti Mobile's other benchmark results — including PassMark G3D at 10,093, Geekbench Vulkan at 55,812, and PassMark GPU Compute at 4,305 — paint a picture of a well-rounded mobile GPU that excels in compute-heavy workloads.

Specification Differences

| Specification | Tesla M2090 | RTX 3050 Ti Mobile |

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

| Architecture | Fermi 2.0 | Ampere |

| Process Node | 40 nm | 8 nm |

| Foundry | TSMC | Samsung |

| Transistors | 3,000 million | 12,000 million |

| Die Size | 520 mm² | 276 mm² |

| Transistor Density | 5.8M / mm² | 43.5M / mm² |

| Base Clock | — | 735 MHz |

| Boost Clock | — | 1035 MHz |

| Memory Clock | 924 MHz / 3.7 Gbps effective | 1500 MHz / 12 Gbps effective |

| Memory Size | 6 GB | 4 GB |

| Memory Type | GDDR5 | GDDR6 |

| Memory Bus | 384 bit | 128 bit |

| Memory Bandwidth | 177.4 GB/s | 192.0 GB/s |

| Shading Units | 512 | 2560 |

| TMUs | 64 | 80 |

| ROPs | 48 | 32 |

| RT Cores | — | 20 |

| Tensor Cores | — | 80 |

| Pixel Rate | 20.83 GPixel/s | 33.12 GPixel/s |

| Texture Rate | 41.66 GTexel/s | 82.80 GTexel/s |

| FP32 Performance | 1,332.2 GFLOPS | 5.299 TFLOPS |

| FP16 Performance | — | 5.299 TFLOPS (1:1) |

| TDP | 250 W | 75 W |

| Slot Width | Dual-slot | IGP |

| Power Connectors | 1x 6-pin + 1x 8-pin | None |

| Suggested PSU | 600 W | — |

| Bus Interface | PCIe 2.0 x16 | PCIe 4.0 x16 |

| Display Outputs | No outputs | Portable Device Dependent |

| DirectX | 12 (11_0) | 12 Ultimate (12_2) |

| Vulkan | — | 1.4 |

| Release Date | 2011-07-24 | 2021-05-10 |

The Verdict

The benchmark data clearly favors the RTX 3050 Ti Mobile in raw compute performance. Its 77.4% lead in Geekbench OpenCL over the Tesla M2090 is the single decisive data point in the head-to-head comparison. The RTX 3050 Ti Mobile also offers modern features — ray tracing cores, tensor cores, Vulkan 1.4 support, and DirectX 12 Ultimate — that the Tesla M2090 cannot match. Its 5.299 TFLOPS FP32 performance is roughly four times the Tesla's 1,332.2 GFLOPS, while doing so at 75 W versus 250 W TDP.

However, the average benchmark scores tell a different story. Both GPUs sit at percentile 53 among all GPUs, with the Tesla at 13,075 and the RTX 3050 Ti Mobile at 12,940. The Tesla's nearest rivals include the GTX 1660 SUPER (0.7% ahead) and GTX 950 (0.9% behind), while the RTX 3050 Ti Mobile's rivals include the RX 580 (0.1% ahead) and the GTX 1660 SUPER (0.4% ahead). In terms of overall benchmark standing, these two cards are effectively peers.

The Tesla M2090 retains advantages in memory capacity (6 GB vs 4 GB) and memory bus width (384-bit vs 128-bit), though the RTX 3050 Ti Mobile compensates with higher bandwidth (192 GB/s vs 177.4 GB/s) due to faster GDDR6 memory. The Tesla also has more ROPs (48 vs 32), which historically helps with fill-rate-bound workloads.

For a system builder choosing between these two, the decision depends on workload. The RTX 3050 Ti Mobile is the better choice for compute-intensive tasks, modern API support, and power-constrained environments. The Tesla M2090, being a dual-slot card with no display outputs and a 250 W TDP, is clearly designed for dedicated compute servers where its larger memory pool and traditional raster pipeline might still find a niche.

Where Each One Wins

NVIDIA GeForce RTX 3050 Ti Mobile wins on:

• Compute performance: 77.4% ahead in Geekbench OpenCL, with 5.299 TFLOPS FP32 versus 1,332.2 GFLOPS
• Modern feature support: 20 RT cores and 80 tensor cores enable ray tracing and AI workloads
• API compatibility: DirectX 12 Ultimate (12_2) and Vulkan 1.4 support exceed the Tesla's capabilities
• Power efficiency: 75 W TDP versus 250 W, with no external power connectors needed
• Texture throughput: 82.80 GTexel/s versus 41.66 GTexel/s, a 98.7% advantage
• Pixel throughput: 33.12 GPixel/s versus 20.83 GPixel/s, a 59% advantage
• Memory bandwidth: 192.0 GB/s versus 177.4 GB/s, despite a much narrower bus

NVIDIA Tesla M2090 wins on:

• Memory capacity: 6 GB versus 4 GB, useful for datasets that exceed the RTX 3050 Ti Mobile's limit
• Memory bus width: 384-bit versus 128-bit, which can help in certain memory-latency-sensitive workloads
• Render output units: 48 versus 32, potentially beneficial for specific rasterization patterns
• Average benchmark score: 13,075 versus 12,940, a marginal 1% lead that places it fractionally ahead in overall standing

The data does not show any benchmark where the Tesla M2090 outperforms the RTX 3050 Ti Mobile directly. The single head-to-head test — Geekbench OpenCL — goes decisively to the RTX 3050 Ti Mobile. The Tesla's only "wins" are in specification fields like memory size and ROP count, which do not translate into a benchmark victory in the available data. For any workload represented by these benchmarks, the RTX 3050 Ti Mobile is the stronger performer.