NVIDIA L4 vs NVIDIA Tesla V100 SXM2 16 GB Comparison

The NVIDIA L4 and NVIDIA Tesla V100 SXM2 16 GB represent two distinct eras of NVIDIA’s server-grade compute lineup, separated by six years of architectural evolution. The L4, built on the Ada Lovelace architecture, is a modern, low-power PCIe card aimed at inference and edge deployments, while the V100 SXM2, based on Volta, is a legacy high-bandwidth module designed for HPC and training. The benchmark data reveals a fascinating split: each card wins one of the two recorded tests, with the L4 dominating in OpenCL and the V100 countering in Vulkan. This analysis breaks down the head-to-head results, architectural foundations, and use-case implications based strictly on the provided facts.

Head-to-Head Benchmarks

The two Geekbench tests paint a starkly contrasting picture of performance. In geekbench_opencl, the NVIDIA L4 scores 140,838 against the Tesla V100 SXM2 16 GB’s 87,454. This represents a 61% advantage for the L4 — a massive margin that underscores how far GPU compute has come in raw throughput per clock. The L4’s score places it near the top of its peer group, trailing the NVIDIA GeForce RTX 3090 Ti (avg score 131,938) by only 0.7% and the AMD Radeon PRO W6800 (avg score 135,396) by 3.2%, while sitting just 3.1% behind both the NVIDIA RTX 4000 Ada Generation and NVIDIA A10M. For a 72 W card, this OpenCL result is exceptional, indicating the Ada Lovelace architecture’s efficiency is not merely theoretical.

However, the Vulkan results flip the narrative. In geekbench_vulkan, the Tesla V100 SXM2 16 GB scores 141,336, outpacing the L4’s 121,306 by 14.2%. This is a surprising outcome given the V100’s older architecture and lower FP32 peak, but it suggests that the V100’s massive memory bandwidth and driver maturity in certain API paths still hold sway. The V100’s Vulkan score is its stronger result by far, nearly 62% higher than its own OpenCL score, whereas the L4’s Vulkan score is about 14% lower than its OpenCL result. The V100’s average benchmark score of 114,395 is well below the L4’s 131,072, but the Vulkan win demonstrates that average scores can mask important API-specific strengths. Both cards share the 95th percentile versus all GPUs, yet their paths to that percentile are entirely different.

Architecture Differences

The architectural chasm between these two GPUs is vast, starting with the manufacturing process. The L4 uses a 5 nm TSMC process, packing 35,800 million transistors into a 294 mm² die for a density of 121.8M / mm². In contrast, the V100 SXM2 uses a 12 nm process, holding 21,100 million transistors on a much larger 815 mm² die, yielding only 25.9M / mm². This density difference is the root cause of the L4’s power efficiency — it delivers more than double the FP32 throughput per watt.

The compute pipelines diverge significantly. The L4 has 7,424 shading units, 240 TMUs, and 80 ROPs, while the V100 has 5,120 shading units, 320 TMUs, and 128 ROPs. Despite fewer TMUs and ROPs, the L4 matches the V100’s texture rate at 489.6 GTexel/s for both, but falls behind in pixel rate — 163.2 GPixel/s for the L4 versus 195.8 GPixel/s for the V100. The L4’s FP32 throughput is 30.29 TFLOPS, nearly double the V100’s 15.67 TFLOPS. For FP16, the L4 achieves 30.29 TFLOPS (1:1), while the V100 hits 31.33 TFLOPS (2:1) — the V100’s only raw compute advantage, leveraging its dedicated tensor cores.

The memory subsystems are polar opposites. The L4 uses 24 GB of GDDR6 on a 192-bit bus, delivering 300.1 GB/s of bandwidth. The V100 uses 16 GB of HBM2 on a 4096-bit bus, delivering 897.0 GB/s — nearly three times the bandwidth. This explains the Vulkan result: the V100’s HBM2 provides a massive data throughput advantage that benefits certain workloads. The L4 features 60 RT cores and 240 tensor cores, while the V100 has no RT cores but 640 tensor cores. The L4 supports DirectX 12 Ultimate (12_2), while the V100 only supports DirectX 12 (12_1); both support OpenGL 4.6 and Vulkan 1.4.

Where Each One Wins

The L4 is the clear winner for compute-heavy, bandwidth-moderate workloads that rely on modern shader execution. Its 61% OpenCL advantage indicates superior FP32 and FP16 throughput, making it suitable for AI inference, graphics rendering, and general-purpose compute where data fits within the 24 GB frame buffer. The L4’s single-slot form factor, 72 W TDP, and lack of power connectors make it deployable in dense servers without special power delivery — a stark contrast to the V100’s 250 W TDP and SXM module form factor. The L4’s suggested PSU of 250 W versus the V100’s 600 W reinforces its low-power positioning.

The V100 SXM2 wins decisively in Vulkan, a result that points to its HBM2 memory advantage. The 897.0 GB/s bandwidth is critical for large data sets, matrix operations, and workloads that are memory-bound rather than compute-bound. The V100’s 640 tensor cores, while older, provide a high FP16 throughput of 31.33 TFLOPS (2:1), which can be leveraged for certain deep learning operations. The V100’s 16 GB HBM2, though smaller in capacity, offers faster access per byte — a tradeoff that favors the L4 for capacity-hungry models but favors the V100 for latency-sensitive kernels. The V100’s production status is end-of-life, so its relevance is for existing deployments, while the L4 is active and forward-looking.

Specification Differences

The following table highlights the key specification gaps between the two cards, focusing only on fields where they differ:

| Specification | NVIDIA L4 | NVIDIA Tesla V100 SXM2 16 GB |

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

| Architecture | Ada Lovelace | Volta |

| Process Node | 5 nm | 12 nm |

| Transistors | 35,800 million | 21,100 million |

| Die Size | 294 mm² | 815 mm² |

| Transistor Density | 121.8M / mm² | 25.9M / mm² |

| Base Clock | 795 MHz | 1312 MHz |

| Boost Clock | 2040 MHz | 1530 MHz |

| Memory Clock | 1563 MHz (12.5 Gbps effective) | 876 MHz (1752 Mbps effective) |

| Memory Size | 24 GB | 16 GB |

| Memory Type | GDDR6 | HBM2 |

| Memory Bus Width | 192 bit | 4096 bit |

| Memory Bandwidth | 300.1 GB/s | 897.0 GB/s |

| Shading Units | 7424 | 5120 |

| TMUs | 240 | 320 |

| ROPs | 80 | 128 |

| RT Cores | 60 | None |

| Tensor Cores | 240 | 640 |

| Pixel Rate | 163.2 GPixel/s | 195.8 GPixel/s |

| FP32 | 30.29 TFLOPS | 15.67 TFLOPS |

| FP16 | 30.29 TFLOPS (1:1) | 31.33 TFLOPS (2:1) |

| TDP | 72 W | 250 W |

| Slot Width | Single-slot | SXM Module |

| Suggested PSU | 250 W | 600 W |

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

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

| Release Date | 2023-03-20 | 2017-06-20 |

| Production Status | Active | End-of-life |

The clocks are notable: the L4 has a lower base clock (795 MHz) but a much higher boost clock (2040 MHz), while the V100 runs higher base (1312 MHz) and lower boost (1530 MHz). The L4’s boost behavior allows it to ramp up under load, while the V100’s higher base reflects a more conservative design. The L4’s dimensions are specified (169 mm length, 56 mm height), while the V100’s are not, reflecting their different physical form factors.

FAQ

Q: Which card has higher FP32 throughput?

A: The NVIDIA L4 offers 30.29 TFLOPS, which is nearly double the Tesla V100 SXM2 16 GB’s 15.67 TFLOPS. This explains the L4’s dominant OpenCL score of 140,838 versus 87,454.

Q: Why does the V100 win in Vulkan despite lower FP32?

A: The V100’s Vulkan score of 141,336 exceeds the L4’s 121,306 by 14.2%. This likely stems from the V100’s 897.0 GB/s memory bandwidth, which is three times the L4’s 300.1 GB/s, allowing faster data movement in memory-heavy Vulkan workloads.

Q: How do the memory capacities compare?

A: The L4 has 24 GB of GDDR6 on a 192-bit bus, while the V100 has 16 GB of HBM2 on a 4096-bit bus. The L4 offers more capacity; the V100 offers far more bandwidth.

Q: Are these cards similar in power consumption?

A: No. The L4 has a TDP of 72 W and a suggested PSU of 250 W, while the V100 has a TDP of 250 W and a suggested PSU of 600 W. The L4 is dramatically more power-efficient.

Q: Which card has hardware ray tracing support?

A: Only the NVIDIA L4 has RT cores — 60 of them. The Tesla V100 SXM2 16 GB has no RT cores, as it predates NVIDIA’s ray tracing hardware introduction.

Q: What are the average benchmark scores and nearest rivals?

A: The L4’s average benchmark score is 131,072, with its nearest rival being the NVIDIA GeForce RTX 3090 Ti at 131,938 (a -0.7% delta). The V100’s average is 114,395, with the NVIDIA RTX A5500 Mobile at 113,944 (0.4% delta) as its closest competitor.