NVIDIA GeForce RTX 5070 Mobile vs NVIDIA RTX 4000 SFF Ada Generation Comparison

Head-to-Head Benchmarks

The recorded data contains two shared benchmark tests between the NVIDIA GeForce RTX 5070 Mobile and the NVIDIA RTX 4000 SFF Ada Generation, and the results split cleanly along API lines. In Geekbench OpenCL, the RTX 4000 SFF Ada Generation posts a score of 124812 against 122238 for the RTX 5070 Mobile, a margin of 2.1% in favor of the workstation card. That is a narrow win, but it is consistent with the card's higher raw compute ceiling. In Geekbench Vulkan, the situation reverses: the RTX 5070 Mobile scores 116960 against 109364 for the RTX 4000 SFF, a 6.9% advantage for the mobile GeForce part. The Vulkan result is the more decisive of the two, indicating that the RTX 5070 Mobile handles the lower-level graphics API with noticeably greater efficiency in this specific workload.

The broader database rankings reinforce how close these two parts are in aggregate performance, though they occupy very different positions in the overall GPU landscape. The RTX 5070 Mobile carries an average benchmark score of 29928, which places it in the 75th percentile of all GPUs in the database. Its nearest rivals include the NVIDIA GeForce RTX 3070 Ti at 29945 (0.1% ahead), the AMD Radeon RX 6800 at 30095 (0.6% ahead), and the NVIDIA GeForce RTX 2080 Ti at 29783 (0.5% behind). The RTX 4000 SFF Ada Generation, by contrast, has an average benchmark score of 117088 and sits in the 95th percentile. Its nearest rivals are the NVIDIA GB10 at 117393 (0.3% ahead), the AMD Radeon PRO W7700 at 118976 (1.6% ahead), the NVIDIA Tesla V100 SXM2 16 GB at 114395 (2.4% behind), and the NVIDIA RTX A5500 Mobile at 113944 (2.8% behind). The discrepancy between the two cards' average scores is enormous, roughly fourfold, but that metric is skewed by the fact that the RTX 4000 SFF has only two recorded benchmarks in the database, both compute-heavy OpenCL and Vulkan tests, while the RTX 5070 Mobile has nine, including several DirectX and 2D tests that drag its average down. The head-to-head results are the fairer comparison, and they show a 1-1 split.

Looking at the individual benchmark suite for the RTX 5070 Mobile provides additional context. Its PassMark G3D score is 20355, its PassMark GPU Compute score is 8279, and its PassMark DirectX 11 score is 192. The DirectX 9 score is 214, DirectX 10 is 129, and DirectX 12 is 93. The 2D score sits at 896. These numbers indicate that the mobile part is strong in older DirectX titles, but the Vulkan result against the RTX 4000 SFF is where it shows its best relative form. The RTX 4000 SFF has no recorded DirectX or PassMark results in the database, so those comparisons cannot be made. What is clear from the two shared tests is that neither card dominates the other outright. The RTX 4000 SFF wins the OpenCL compute test by a small margin, and the RTX 5070 Mobile wins the Vulkan graphics test by a more comfortable margin.

The Verdict

The data points to a straightforward choice based on workload priorities. For users who need maximum OpenCL compute throughput in a compact workstation form factor, the RTX 4000 SFF Ada Generation is the pick. It delivers 2.1% more OpenCL performance than the RTX 5070 Mobile, sits in the 95th percentile of all GPUs, and comes with 20 GB of memory, which is 12 GB more than the mobile part. For users who prioritize Vulkan graphics performance, the RTX 5070 Mobile is the better option, with a 6.9% lead in that specific API. Its 75th percentile ranking is lower than the workstation card's, but that ranking reflects a much broader set of benchmarks, including older DirectX tests where the mobile part still performs respectably.

The RTX 4000 SFF also holds advantages in raw specification terms: more shading units (6144 vs 4608), more texture mapping units (192 vs 144), more render output units (64 vs 48), more ray tracing cores (48 vs 36), and more tensor cores (192 vs 144). Its boost clock is higher at 1560 MHz versus 1425 MHz, and its pixel rate and texture rate are both higher (99.84 GPixel/s vs 68.40 GPixel/s, and 299.5 GTexel/s vs 205.2 GTexel/s respectively). The FP32 throughput is 19.17 TFLOPS versus 13.13 TFLOPS, a 46% gap in theoretical compute. Yet in the actual recorded OpenCL benchmark, that gap shrinks to just 2.1%, which suggests that the RTX 5070 Mobile extracts more real-world performance from each unit of theoretical throughput. The Vulkan result flips the win to the mobile card entirely.

Neither card is a universal winner. The RTX 5070 Mobile is a portable device with no power connectors and a 50 W TDP, while the RTX 4000 SFF is a dual-slot desktop card with a 70 W TDP and a suggested PSU of 250 W. The mobile part uses PCIe 5.0 x16, the workstation card uses PCIe 4.0 x16. The mobile part outputs to a portable device dependent display, the workstation card has four mini-DisplayPort 1.4a outputs. The choice is between mobile flexibility with a Vulkan edge and a stationary workstation card with an OpenCL edge and far more memory.

Architecture Differences

The two GPUs come from different architectural generations and are built on different chips. The RTX 5070 Mobile uses the GB206 chip with Blackwell 2.0 architecture, while the RTX 4000 SFF Ada Generation uses the AD104 chip with Ada Lovelace architecture. Both are fabricated by TSMC on a 5 nm process, and their transistor densities are nearly identical: 121.0M per mm² for the mobile part and 121.8M per mm² for the workstation part. The die sizes differ substantially, with the GB206 measuring 181 mm² and the AD104 measuring 294 mm². The transistor counts follow the die size: the GB206 has 21,900 million transistors, while the AD104 has 35,800 million.

The generation gap is notable. The RTX 5070 Mobile belongs to the GeForce 50 Mobile generation and lists its predecessor as GeForce 40 Mobile. The RTX 4000 SFF belongs to the Workstation Ada generation, lists its predecessor as Workstation Ampere, and its successor as Blackwell PRO W. That successor naming confirms that Blackwell is the architectural follow-up to Ada Lovelace, and the RTX 5070 Mobile is an early implementation of that newer architecture. The API support is identical on both cards: DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The memory types differ as well, with the RTX 5070 Mobile using GDDR7 and the RTX 4000 SFF using GDDR6.

The ray tracing and tensor core counts reflect the architectural differences. The RTX 5070 Mobile has 36 ray tracing cores and 144 tensor cores, while the RTX 4000 SFF has 48 and 192 respectively. The workstation card has one-third more of each. Despite that, the Vulkan benchmark shows the mobile card ahead, which suggests that Blackwell 2.0's per-core efficiency in graphics workloads outpaces the older Ada architecture's raw core count. The OpenCL result shows the opposite, where the workstation card's higher core count and higher boost clock translate into a win, albeit a narrow one.

Specification Differences

The RTX 5070 Mobile and RTX 4000 SFF Ada Generation differ on nearly every specification field in the database. The mobile card has a base clock of 907 MHz and a boost clock of 1425 MHz, while the workstation card has a base clock of 720 MHz and a boost clock of 1560 MHz. The memory configuration is a major split: the RTX 5070 Mobile has 8 GB of GDDR7 on a 128-bit bus with 384.0 GB/s of bandwidth, while the RTX 4000 SFF has 20 GB of GDDR6 on a 160-bit bus with 280.0 GB/s of bandwidth. The mobile part has a smaller bus but faster memory, resulting in higher bandwidth. The workstation part has 2.5 times the capacity but lower bandwidth.

The core counts differ across the board. The RTX 5070 Mobile has 4608 shading units, 144 texture mapping units, and 48 render output units. The RTX 4000 SFF has 6144 shading units, 192 texture mapping units, and 64 render output units. The RTX 5070 Mobile has 36 ray tracing cores and 144 tensor cores, while the RTX 4000 SFF has 48 ray tracing cores and 192 tensor cores. The compute rates follow the core counts: the mobile card posts 68.40 GPixel/s and 205.2 GTexel/s, while the workstation card posts 99.84 GPixel/s and 299.5 GTexel/s. FP32 and FP16 throughput are both 13.13 TFLOPS on the mobile card and 19.17 TFLOPS on the workstation card.

The physical and power specifications diverge as well. The RTX 5070 Mobile has a 50 W TDP, an IGP slot width, no power connectors, and no suggested PSU. The RTX 4000 SFF has a 70 W TDP, a dual-slot width, no power connectors, and a suggested PSU of 250 W. The mobile card measures no listed dimensions, while the workstation card is 168 mm long and 69 mm high. The bus interface is PCIe 5.0 x16 on the mobile card and PCIe 4.0 x16 on the workstation card. Display outputs are portable device dependent on the mobile card and 4x mini-DisplayPort 1.4a on the workstation card. The release dates are March 2023 for the RTX 4000 SFF and April 2025 for the RTX 5070 Mobile, a gap of roughly two years.

FAQ

Q: Which card wins in OpenCL performance?

A: The NVIDIA RTX 4000 SFF Ada Generation wins the Geekbench OpenCL test with a score of 124812, which is 2.1% ahead of the RTX 5070 Mobile's 122238.

Q: Which card wins in Vulkan performance?

A: The NVIDIA GeForce RTX 5070 Mobile wins the Geekbench Vulkan test with a score of 116960, which is 6.9% ahead of the RTX 4000 SFF's 109364.

Q: How much memory does each card have?

A: The RTX 5070 Mobile has 8 GB of GDDR7 on a 128-bit bus, while the RTX 4000 SFF has 20 GB of GDDR6 on a 160-bit bus.

Q: Which card has more shading units?

A: The RTX 4000 SFF has 6144 shading units, compared to 4608 on the RTX 5070 Mobile. The workstation card also has more texture mapping units, render output units, ray tracing cores, and tensor cores.

Q: What are the power requirements?

A: The RTX 5070 Mobile has a 50 W TDP with no power connectors and no suggested PSU. The RTX 4000 SFF has a 70 W TDP with no power connectors and a suggested PSU of 250 W.

Q: How do their average benchmark scores compare?

A: The RTX 5070 Mobile has an average benchmark score of 29928 and sits in the 75th percentile of all GPUs. The RTX 4000 SFF has an average benchmark score of 117088 and sits in the 95th percentile, though that average is based on only two recorded benchmarks.

Where Each One Wins

The RTX 5070 Mobile wins in Vulkan graphics workloads, as shown by its 6.9% advantage in the Geekbench Vulkan test. It also holds the edge in memory bandwidth, with 384.0 GB/s versus 280.0 GB/s, and it uses a newer PCIe 5.0 x16 interface. Its 50 W TDP and IGP slot width make it suitable for portable or tightly integrated systems, and its GDDR7 memory type is the more recent standard. The card's DirectX benchmark scores, while not directly comparable to the workstation card, are present in the database and show functional performance across DirectX 9 through 12, with the highest score in DirectX 9 at 214.

The RTX 4000 SFF Ada Generation wins in OpenCL compute workloads, as shown by its 2.1% lead in the Geekbench OpenCL test. It also wins decisively on memory capacity, offering 20 GB versus 8 GB, which is critical for large datasets or multi-application workloads. Its core counts are higher across every category, and its theoretical compute throughput is 19.17 TFLOPS versus 13.13 TFLOPS FP32. The card's pixel rate and texture rate are both higher, and its boost clock is 135 MHz higher. The dual-slot form factor with four mini-DisplayPort 1.4a outputs targets fixed workstation installations, and the 250 W suggested PSU indicates a more substantial power envelope than the mobile part's 50 W.

The recorded head-to-head data shows a 1-1 split in wins, with the OpenCL result going to the workstation card and the Vulkan result going to the mobile card. The RTX 5070 Mobile's average benchmark score of 29928 places it near desktop parts like the RTX 3070 Ti and RX 6800, while the RTX 4000 SFF's average of 117088 places it near the GB10 and Radeon PRO W7700. Those comparisons are not apples-to-apples due to the different benchmark counts, but they indicate that each card is competitive within its respective segment. The RTX 5070 Mobile is the choice for Vulkan-centric graphics on a portable platform, and the RTX 4000 SFF is the choice for OpenCL compute with large memory requirements in a fixed workstation.