NVIDIA's GeForce RTX 5090 and RTX 5090D have finally been tested at Blender, revealing the capabilities of flagship Blackwell GPUs in rendering scenarios.
NVIDIA's Flagship RTX Blackwell GPUs To Debut With Considerable Difference In Rendering Performance From Previous Generation
Well, as the official launch of Team Green's RTX 50 series SKUs approaches, we have started to see leaks surfaced online, revealing the performance of specific models, including the high-end variants. This time, fortunately, we now have an idea of what to expect with the GeForce RTX 5090 and RTX 5090D in terms of professional workloads, notably rendering, as Blender benchmarks have revealed the performance of these SKUs, and by the looks of it, there are some serious generational gains.
Starting off with the GeForce RTX 5090, the GPU has managed to obtain a median score of 17822.17, which almost marks a 30% difference from the previous-gen flagship model, the GeForce RTX 4090. Moreover, with the RTX 5090D, you are looking at around a 28% increase in performance from the GeForce RTX 4090, which is massive. Interestingly, this also reveals that the GeForce RTX 5090 and the RTX 5090D may not be completely equal in performance, or at least what the Blender benchmarks conclude.
Well, just recently, the GeForce RTX 5090 was tested within the Geekbench OpenCL & Vulkan APIs, offering up to 37% faster performance over the RTX 4090, which indeed validates the fact that in terms of performance difference within flagship models, we are looking at an average of 30%-40% difference, depending upon workloads and environments. Yet again, this is just an estimate for now, and real-time figures might change once we get a hold of the SKUs and the review embargo lifts.
The NVIDIA GeForce RTX 5090 GPU will be launched in just a few weeks and will be the fastest card in the RTX 50 "Blackwell" Gaming lineup, coming in with an MSRP of $1,999. Along with this, the GeForce RTX 5090D, which is the "China-compliant" alternative, will launch too as well, hoping to capitalize on the Chinese market.
NVIDIA GeForce RTX 50 GPU Specs (Official):
| Graphics Card Name | NVIDIA GeForce RTX 5090 | NVIDIA GeForce RTX 5080 | NVIDIA GeForce RTX 5070 Ti | NVIDIA GeForce RTX 5070 | NVIDIA GeForce RTX 5060 Ti | NVIDIA GeForce RTX 5060 | NVIDIA GeForce RTX 5050 |
|---|---|---|---|---|---|---|---|
| GPU Name | Blackwell GB202-300 | Blackwell GB203-400 | Blackwell GB203-300 | Blackwell GB205-300 | Blackwell GB206-300 | Blackwell GB206-250 | Blackwell GB207-300 |
| GPU SMs | 170 | 84 | 70 | 48 | 36 | 30 | 20 |
| GPU Cores | 21760 | 10752 | 8960 | 6144 | 4608 | 3840 | 2560 |
| Clock Speeds | 2017 MHz (Base) 2407 MHz (Boost) | 2295 MHz (Base) 2617 MHz (Boost) | 2295 MHz (Base) 2452 MHz (Boost) | 2325 MHz (Base) 2512 MHz (Boost) | 2407 MHz (Base) 2572 MHz (Boost) | 2280 MHz (Base) 2497 MHz (Boost) | 2317 MHz (Base) 2572 MHz (Boost) |
| Memory Capacity | 32 GB GDDR7 | 16 GB GDDR7 | 16 GB GDDR7 | 12 GB GDDR7 | 8-16 GB GDDR7 | 8 GB GDDR7 | 8 GB GDDR6 |
| Memory Bus | 512-bit | 256-bit | 256-bit | 192-bit | 128-bit | 128-bit | 128-bit |
| Memory Speed | 28 Gbps | 30 Gbps | 28 Gbps | 28 Gbps | 28 Gbps | 28 Gbps | 20 Gbps |
| Bandwidth | 1792 GB/s | 960 GB/s | 896 GB/s | 672 GB/s | 448 GB/s | 448 GB/s | 320 GB/s |
| Power Interface | 1 12V-2x6 (16-Pin) | 1 12V-2x6 (16-Pin) | 1 12V-2x6 (16-Pin) | 1 12V-2x6 (16-Pin) | 16-Pin or 8-Pin | 8-Pin | 8-Pin |
| Launch | 30th Jan, 2025 | 30th Jan, 2025 | 20th Feb, 2025 | 4th March, 2025 | 16th April, 2025 | 19th April, 2025 | 1st July, 2025 |
| TBP | 575W | 360W | 300W | 250W | 180W | 145W | 130W |
| Price (MSRP) | $1999 | $999 | $749 | $549 | $379-$429 | $299 | $249 |
About the author: Muhammad Zuhair is a hardware and technology reporter for Wccftech, specializing in the semiconductor industry and the complex interplay between technology, manufacturing, and geopolitics. His coverage focuses on the corporate strategies and technological roadmaps of industry giants like TSMC, NVIDIA, Samsung, and Intel. Zuhair's expertise lies in deconstructing complex topics such as fabrication nodes (e.g., 2nm process), the economic impact of policies like the CHIPS Act, and the strategic development of AI infrastructure from NVIDIA, AMD and Intel.
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