GPU Benchmarks NVIDIA Titan RTX vs. NVIDIA A30


Quick links:
- Benchmarks
- Specifications
- Deep Learning GPU Benchmarks 2024–2025
- 3D, GPU Rendering Benchmarks 2024–2025
Best GPUs for deep learning, AI development, compute in 2023–2024. Recommended GPU & hardware for AI training, inference (LLMs, generative AI). GPU training, inference benchmarks using PyTorch, TensorFlow for computer vision (CV), NLP, text-to-speech, etc.
We benchmark NVIDIA Titan RTX vs NVIDIA A30 GPUs and compare AI performance (deep learning training; FP16, FP32, PyTorch, TensorFlow), 3d rendering, Cryo-EM performance in the most popular apps (Octane, VRay, Redshift, Blender, Luxmark, Unreal Engine, Relion Cryo-EM).
Our benchmarks will help you decide which GPU (NVIDIA RTX 4090/4080, H100 Hopper, H200, A100, RTX 6000 Ada, A6000, A5000, or RTX 6000 ADA Lovelace) is the best GPU for your needs. We provide an in-depth analysis of the AI performance of each graphic card's performance so you can make the most informed decision possible. We offer deep learning and 3d rendering benchmarks that will help you get the most out of your hardware.
Looking for a GPU workstation or server for AI/ML, design, rendering, simulation or molecular dynamics?
Explore BIZON AI workstations or GPU servers.
Contact us today or explore our various customizable AI solutions.
Featured GPU benchmarks:
- NVIDIA H100 vs. A100 vs. RTX 6000 Ada
- NVIDIA RTX 4090 vs. RTX 4080 vs. RTX 3090
- NVIDIA RTX 3080 vs. 3080 Ti vs. RTX 3090
- NVIDIA RTX 3090 vs. NVIDIA A6000
- NVIDIA A6000 vs. A5000 vs. NVIDIA RTX 3090
- NVIDIA A100 vs. NVIDIA A6000
- NVIDIA RTX 2080 Ti vs. Titan RTX vs Quadro RTX8000
Benchmarks
Deep Learning GPU Benchmarks 2024–2025 [Updated]↑
Resnet50 (FP16)
Resnet50 (FP16 XLA)
Resnet50 (FP32)
Resnet50 (FP32 XLA)
Resnet152 (FP16)
Resnet152 (FP16 XLA)
Resnet152 (FP32)
Resnet152 (FP32 XLA)
Inception V3 (FP16)
Inception V3 (FP16 XLA)
Inception V3 (FP32)
Inception V3 (FP32 XLA)
Inception V4 (FP16)
Inception V4 (FP16 XLA)
Inception V4 (FP32)
Inception V4 (FP32 XLA)
VGG16 (FP16)
VGG16 (FP16 XLA)
VGG16 (FP32)
VGG16 (FP32 XLA)
Googlenet (FP16)
Googlenet (FP32)
3D, GPU Rendering Benchmarks 2024–2025 [Updated]↑
V-Ray
Octane
Redshift
Blender
Luxmark
Technical Specifications
Board Design
NVIDIA Titan RTX | NVIDIA A30 | Difference | |
---|---|---|---|
Length | 11 in / 267 mm | 11 in / 267 mm | - |
Outputs | 1x HDMI, 3x DisplayPort, 1x USB Type-C | No outputs | |
Power Connectors | 2x 8-pin | 8-pin EPS | |
Slot width | Dual-slot | Dual-slot | - |
TDP | 280 W | 165 W | -115 W (-41%) |
Clock Speeds
NVIDIA Titan RTX | NVIDIA A30 | Difference | |
---|---|---|---|
Boost Clock | 1770 MHz | 1440 MHz | -330 MHz (-19%) |
GPU Clock | 1350 MHz | 930 MHz | -420 MHz (-31%) |
Memory Clock | 14000 MHz | 2400 MHz | -11600 MHz (-83%) |
Graphics Card
NVIDIA Titan RTX | NVIDIA A30 | Difference | |
---|---|---|---|
Bus Interface | PCIe 3.0 x16 | PCIe 4.0 x16 | |
Generation | GeForce 20 | Tesla (Axx) |
Graphics Features
NVIDIA Titan RTX | NVIDIA A30 | Difference | |
---|---|---|---|
DirectX | 12 Ultimate (12_1) | - | |
OpenCL | 2 | 3 | |
OpenGL | 4.6 | - | |
Shader Model | 6.5 | - | |
CUDA | 7.5 | 8 |
Graphics Processor
NVIDIA Titan RTX | NVIDIA A30 | Difference | |
---|---|---|---|
Architecture | Turing | Ampere | |
Die Size | 754 mm2 | 826 mm2 | 72 mm2 (10%) |
GPU Name | TU102-400-A1 | GA100 | |
Process Size | 12 nm | 7 nm | -5 nm (-42%) |
Transistors | 18600 million | 54200 million | 35600 million (191%) |
Memory
NVIDIA Titan RTX | NVIDIA A30 | Difference | |
---|---|---|---|
Bandwidth | 672 GB/s | 933.1 GB/s | 261.1 GB/s (39%) |
Memory Bus | 384 bit | 3072 bit | 2688 bit (700%) |
Memory Size | 24 GB | 24 GB | - |
Memory Type | GDDR6 | HBM2 |
Render Config
NVIDIA Titan RTX | NVIDIA A30 | Difference | |
---|---|---|---|
ROPs | 96 | 96 | - |
RT Cores | 72 | - | |
Shading Units/ CUDA Cores | 4608 | 3584 | -1024 (-22%) |
TMUs | 288 | 224 | -64 (-22%) |
Tensor Cores | 576 | 224 | -352 (-61%) |
Theoretical Performance
NVIDIA Titan RTX | NVIDIA A30 | Difference | |
---|---|---|---|
FP16 (half) performance | 32.62 TFLOPS | 10.32 TFLOPS | -22.3 TFLOPS (-68%) |
FP32 (float) performance | 16.31 TFLOPS | 10.32 TFLOPS | -5.99 TFLOPS (-37%) |
FP64 (double) performance | 509.8 GFLOPS | 5161 GFLOPS | 4651.2 GFLOPS (912%) |
Pixel Rate | 169.9 GPixel/s | 138.2 GPixel/s | -31.7 GPixel/s (-19%) |
Texture Rate | 509.8 GTexel/s | 322.6 GTexel/s | -187.2 GTexel/s (-37%) |
Price
NVIDIA Titan RTX | NVIDIA A30 | Difference | |
---|---|---|---|
MSRP | $2,499.00 | - | |
Release Date | Dec 18th, 2018 | Apr 12th, 2021 |
Test bench configuration
NVIDIA Titan RTX | NVIDIA A30 | Difference | |
---|---|---|---|
Hardware | BIZON ZX5000 More details | BIZON X5000 More details | |
Software | Deep learning: Nvidia Driver: 440 CUDA: 10.1 TensorFlow: 1.14 Batch size: 64 3D Rendering: Nvidia Driver: 442.19 VRay Benchmark: 4.10.3 Octane Benchmark: 4.00 Redshift Benchmark: 3.0.x Blender: 2.81 Luxmark: 3.1 | 3D Rendering: Nvidia Driver: 461.40 VRay Benchmark: 5 Octane Benchmark: 2020.1.5 Redshift Benchmark: 3.0.28 Demo Blender: 2.90 Luxmark: 3.1 |
Recommended hardware
NVIDIA Titan RTX | NVIDIA A30 | Difference | |
---|---|---|---|
Best GPU workstations | BIZON X5500 | BIZON X5500 | - |
Best NVIDIA GPU servers | - | BIZON X7000 |