NVIDIA B300 vs NVIDIA GeForce RTX 5070 Ti Mobile Comparison

Head-to-Head Benchmarks

The NVIDIA B300 and the NVIDIA GeForce RTX 5070 Ti Mobile occupy completely different segments of the GPU market, and the recorded data reflects that split clearly. The B300 is a server-class compute module with no display outputs, designed for data center workloads, while the RTX 5070 Ti Mobile is a laptop GPU with full display support. Their benchmark results, however, are not directly comparable because the B300 has no recorded benchmark scores in the database, while the RTX 5070 Ti Mobile has a robust set of nine benchmark entries.

The RTX 5070 Ti Mobile delivers an average benchmark score of 35,435 across its recorded tests. Its strongest showing comes in Geekbench OpenCL with a score of 143,870, followed closely by Geekbench Vulkan at 139,213. In the Passmark suite, the GPU records a G3D score of 24,004, a GPU compute score of 10,101, a G2D score of 981, and DirectX-specific scores of 259 for DirectX 9, 237 for DirectX 11, 151 for DirectX 10, and 102 for DirectX 12. These numbers place the RTX 5070 Ti Mobile in the 80th percentile among all GPUs in the database, indicating strong performance relative to the broader GPU landscape.

The B300, by contrast, has no benchmark scores recorded and sits at the 50th percentile with an average score of zero. This means the database contains no direct head-to-head measurement between these two products. The comparison must therefore rely on architectural and specification differences, plus the RTX 5070 Ti Mobile's position relative to its nearest rivals.

Looking at the RTX 5070 Ti Mobile's nearest rivals provides context for its standing. The NVIDIA Quadro GV100 scores 35,520, which is 0.2% higher than the RTX 5070 Ti Mobile's average. The AMD Radeon Pro Duo scores 35,860, 1.2% higher. The NVIDIA T1000 scores 36,289, 2.4% higher. The NVIDIA A2 scores 34,690, which is 2.1% lower. These deltas show the RTX 5070 Ti Mobile clustering tightly with professional workstation GPUs, all within a range of roughly 2.4% above or 2.1% below its average score. The data indicates that the RTX 5070 Ti Mobile performs on par with established workstation cards despite being a mobile part.

Where Each One Wins

The B300 wins decisively in raw compute capacity. Its FP32 throughput of 76.99 TFLOPS dwarfs the RTX 5070 Ti Mobile's 17.04 TFLOPS, representing a 4.5x advantage. In FP16 performance, the gap widens dramatically: the B300 delivers 1,231.8 TFLOPS using a 16:1 ratio, while the RTX 5070 Ti Mobile manages 17.04 TFLOPS at a 1:1 ratio. The B300's memory subsystem is equally dominant, with 144 GB of HBM3e on a 4096-bit bus delivering 4.10 TB/s of bandwidth. The RTX 5070 Ti Mobile offers 12 GB of GDDR7 on a 192-bit bus with 672.0 GB/s. The B300 also has 18,944 shading units versus 5,888 for the RTX 5070 Ti Mobile, and 592 tensor cores versus 184.

The RTX 5070 Ti Mobile wins in areas that matter for client-side use. Its pixel rate of 115.8 GPixel/s exceeds the B300's 48.77 GPixel/s, making it better suited for graphics rendering tasks. It has 80 ROPs compared to just 24 on the B300, which explains its higher pixel throughput. The RTX 5070 Ti Mobile also includes 46 ray tracing cores, a feature the B300 does not list. Its power envelope of 60 W versus 1,400 W makes it viable for portable devices, while the B300 requires an SXM module form factor and an 1800 W suggested PSU.

The RTX 5070 Ti Mobile's display outputs are listed as "Portable Device Dependent," meaning it can drive displays in laptops, while the B300 has no outputs at all. The RTX 5070 Ti Mobile supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, whereas the B300 has no API support recorded. For gaming, content creation, or any workstation task requiring a display, the RTX 5070 Ti Mobile is the only option between the two.

Architecture Differences

Both GPUs use a 5 nm process from TSMC, but they implement different versions of NVIDIA's Blackwell architecture. The B300 uses the Blackwell Ultra architecture with the GB110 chip, while the RTX 5070 Ti Mobile uses Blackwell 2.0 with the GB205 chip. The B300 belongs to the Server Blackwell (Bxx) generation, and the RTX 5070 Ti Mobile belongs to the GeForce 50 Mobile generation.

The transistor counts reveal the scale gap. The B300 packs 104,000 million transistors, while the RTX 5070 Ti Mobile has 31,100 million. The RTX 5070 Ti Mobile's die size is 263 mm² with a transistor density of 118.3M per mm². The B300's die size is not recorded, but its transistor count alone indicates a far larger physical implementation.

The memory architectures could not be more different. The B300 uses HBM3e memory with a 4096-bit bus, a design optimized for bandwidth-intensive server workloads. The RTX 5070 Ti Mobile uses GDDR7 with a 192-bit bus, a conventional choice for mobile graphics. The B300's memory clock is listed as 2000 MHz with 8 Gbps effective, while the RTX 5070 Ti Mobile runs at 1750 MHz with 28 Gbps effective. The B300's bandwidth advantage comes from its massive bus width, not its clock speed.

The FP16 ratio difference is notable. The B300 delivers 1,231.8 TFLOPS at a 16:1 ratio, meaning its FP16 throughput is heavily accelerated relative to FP32, a common trait for AI and HPC processors. The RTX 5070 Ti Mobile delivers 17.04 TFLOPS at a 1:1 ratio, matching its FP32 throughput, which is typical for consumer GPUs that prioritize balanced performance.

The B300's texture rate of 1,202.9 GTexel/s far exceeds the RTX 5070 Ti Mobile's 266.2 GTexel/s, but its pixel rate is lower due to the small ROP count. The B300 has 592 TMUs versus 184 on the RTX 5070 Ti Mobile, reinforcing its compute-oriented design.

Specification Differences

The two GPUs differ across nearly every measurable specification. The B300 has a base clock of 1665 MHz and a boost clock of 2032 MHz, while the RTX 5070 Ti Mobile runs at 847 MHz base and 1447 MHz boost. The B300's clocks are higher despite its larger scale, indicating a different power and thermal design philosophy.

Memory capacity differs by a factor of 12: 144 GB versus 12 GB. The bus width difference is even more extreme, with the B300 using a 4096-bit interface versus 192 bits on the RTX 5070 Ti Mobile. Bandwidth follows suit at 4.10 TB/s versus 672.0 GB/s.

Shading units count 18,944 on the B300 versus 5,888 on the RTX 5070 Ti Mobile. TMUs number 592 versus 184. The B300 has 24 ROPs, while the RTX 5070 Ti Mobile has 80. Tensor cores are 592 versus 184. The RTX 5070 Ti Mobile has 46 ray tracing cores, and the B300 lists none.

Power consumption is a defining differentiator: 1400 W for the B300 versus 60 W for the RTX 5070 Ti Mobile. The B300 requires an SXM module slot and an 1800 W suggested PSU, while the RTX 5070 Ti Mobile is an IGP with no power connectors needed. The B300 has PCIe 5.0 x16 bus interface, and the RTX 5070 Ti Mobile also uses PCIe 5.0 x16.

The RTX 5070 Ti Mobile was released on 2025-02-28, and the B300 followed on 2025-09-10. Both are listed as Active in production. The B300's predecessor is Server Hopper, and its successor is Server Rubin. The RTX 5070 Ti Mobile's predecessor is GeForce 40 Mobile, and it has no successor recorded. The B300 has no launch MSRP recorded, and neither does the RTX 5070 Ti Mobile.

FAQ

Q: Which GPU has higher FP32 compute performance?

A: The NVIDIA B300 delivers 76.99 TFLOPS in FP32, which is 4.5 times the 17.04 TFLOPS of the RTX 5070 Ti Mobile.

Q: What memory configurations do these GPUs use?

A: The B300 has 144 GB of HBM3e on a 4096-bit bus with 4.10 TB/s bandwidth. The RTX 5070 Ti Mobile has 12 GB of GDDR7 on a 192-bit bus with 672.0 GB/s bandwidth.

Q: Does the RTX 5070 Ti Mobile support ray tracing?

A: Yes, the RTX 5070 Ti Mobile has 46 ray tracing cores. The B300 does not list any ray tracing cores in the database.

Q: Which GPU has a higher pixel fill rate?

A: The RTX 5070 Ti Mobile achieves 115.8 GPixel/s, while the B300 achieves 48.77 GPixel/s. The mobile GPU has 80 ROPs versus 24 on the B300.

Q: How does the RTX 5070 Ti Mobile compare to its nearest rivals?

A: The RTX 5070 Ti Mobile's average score of 35,435 is 0.2% below the Quadro GV100, 1.2% below the Radeon Pro Duo, 2.4% below the T1000, and 2.1% above the A2.

Q: What are the power requirements for each GPU?

A: The B300 has a TDP of 1400 W and requires an 1800 W suggested PSU. The RTX 5070 Ti Mobile has a TDP of 60 W and uses no power connectors.

The Verdict

The data points to two products with almost no overlap in purpose. The NVIDIA B300 is a server compute module with massive memory, extreme FP16 throughput, and a 1400 W power envelope. Its 144 GB of HBM3e and 4.10 TB/s bandwidth make it suited for large-scale AI training or HPC workloads where memory capacity and bandwidth are critical. The absence of display outputs and any recorded benchmarks reinforces its role as an accelerator, not a graphics card.

The NVIDIA GeForce RTX 5070 Ti Mobile is a laptop GPU with a complete feature set for client computing. Its 80th percentile ranking, ray tracing cores, DirectX 12 Ultimate support, and display outputs make it a practical choice for gaming laptops or mobile workstations. Its benchmark scores cluster tightly with professional workstation GPUs like the Quadro GV100 and T1000, showing that mobile parts can match desktop workstation performance within a narrow margin.

For buyers needing a server accelerator with maximum compute density and memory, the B300 is the clear choice based on specifications alone. For anyone needing a GPU in a portable device with graphics output and API support, the RTX 5070 Ti Mobile is the only viable option between the two. The 60 W power draw versus 1400 W also dictates different deployment scenarios entirely. The B300 belongs in a data center rack with substantial power infrastructure, while the RTX 5070 Ti Mobile belongs in a laptop chassis.

The absence of B300 benchmark data means the database cannot confirm its real-world performance, but its architectural advantages in FP32, FP16, memory, and tensor core counts are unambiguous. The RTX 5070 Ti Mobile's recorded scores confirm it performs competitively against professional GPUs, making it a strong mobile solution. Each GPU wins in its intended domain, and the data does not support using either outside that domain.