NVIDIA RTX 2080 Ti vs NVIDIA Titan RTX
NVIDIA RTX 2080 Ti
NVIDIA Titan RTX
NVIDIA Quadro RTX 6000
NVIDIA Quadro RTX 8000
NVIDIA GTX 1080 Ti
NVIDIA Titan V
NVIDIA Tesla V100
NVIDIA GTX 780
NVIDIA GTX 780 Ti
NVIDIA GTX 960
NVIDIA GTX 980
NVIDIA GTX 980 Ti
NVIDIA GTX 1050
NVIDIA GTX 1050 Ti
NVIDIA GTX 1060
NVIDIA GTX 1070
NVIDIA GTX 1070 Ti
NVIDIA GTX 1080
NVIDIA GTX 1650
NVIDIA GTX 1660
NVIDIA GTX 1660 Ti
NVIDIA RTX 2060
NVIDIA RTX 2060 Super
NVIDIA RTX 2070
NVIDIA RTX 2070 Super
NVIDIA RTX 2080
NVIDIA RTX 2080 Super
NVIDIA Titan Xp
NVIDIA Quadro M6000
NVIDIA Quadro P1000
NVIDIA Quadro P2000
NVIDIA Quadro P4000
NVIDIA Quadro P5000
NVIDIA Quadro P6000
NVIDIA Quadro GP100
NVIDIA Quadro GV100
NVIDIA Quadro RTX 4000
NVIDIA Quadro RTX 5000
NVIDIA RTX 3070
NVIDIA RTX 3080
NVIDIA RTX 3090
NVIDIA RTX A6000
NVIDIA RTX 3060
NVIDIA RTX 3060 Ti
NVIDIA A100 40 GB (PCIe)
NVIDIA A40
NVIDIA A10
NVIDIA A16
NVIDIA A30
NVIDIA RTX A4000
NVIDIA RTX A5000
NVIDIA RTX 3070 Ti
NVIDIA RTX 3080 Ti
NVIDIA A100 80 GB (PCIe)
NVIDIA A100 80 GB (SXM4)
NVIDIA RTX A4500
NVIDIA T400
NVIDIA T600
NVIDIA T1000
NVIDIA RTX A5500
NVIDIA RTX A2000
NVIDIA H100 (PCIe)
NVIDIA H100 (SXM5)
NVIDIA H100 CNX
NVIDIA RTX 3090 Ti
NVIDIA RTX 4090
NVIDIA RTX 4080
NVIDIA RTX 4070 Ti
NVIDIA RTX 6000 Ada
NVIDIA L40
NVIDIA RTX 4090 Ti (Unreleased)
NVIDIA RTX 4000 SFF Ada
NVIDIA RTX 4070
NVIDIA L40s
NVIDIA RTX 4000 Ada
NVIDIA RTX 4500 Ada
NVIDIA RTX 5000 Ada
NVIDIA A800 40 GB (PCIe)
NVIDIA A800 40 GB Active
NVIDIA H200 (SXM5)
NVIDIA GH200
NVIDIA L4
NVIDIA B200 (SXM)
NVIDIA RTX 5090 (Unreleased)
NVIDIA H200 (PCIe)
NVIDIA RTX 5080 (Unreleased)
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Quick links:
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 these 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:
Deep Learning GPU Benchmarks 2023–2024 [Updated]
Resnet50 (FP16)
1 GPU
NVIDIA RTX 2080 Ti
488.56
4 GPU
NVIDIA RTX 2080 Ti
1597.66
Resnet50 (FP16 XLA)
1 GPU
NVIDIA RTX 2080 Ti
741.26
4 GPU
NVIDIA RTX 2080 Ti
2465.23
Resnet50 (FP32)
1 GPU
NVIDIA RTX 2080 Ti
302.88
4 GPU
NVIDIA RTX 2080 Ti
1075.19
Resnet50 (FP32 XLA)
1 GPU
NVIDIA RTX 2080 Ti
330.72
4 GPU
NVIDIA RTX 2080 Ti
1132.16
Resnet152 (FP16)
1 GPU
NVIDIA RTX 2080 Ti
213.35
4 GPU
NVIDIA RTX 2080 Ti
681.19
Resnet152 (FP16 XLA)
1 GPU
NVIDIA RTX 2080 Ti
290.23
4 GPU
NVIDIA RTX 2080 Ti
977.06
Inception V3 (FP16)
1 GPU
NVIDIA RTX 2080 Ti
293.76
Inception V3 (FP16 XLA)
1 GPU
NVIDIA RTX 2080 Ti
404.99
4 GPU
NVIDIA RTX 2080 Ti
1467.97
Inception V3 (FP32)
1 GPU
NVIDIA RTX 2080 Ti
198.81
4 GPU
NVIDIA RTX 2080 Ti
739.49
Inception V3 (FP32 XLA)
1 GPU
NVIDIA RTX 2080 Ti
215.54
4 GPU
NVIDIA RTX 2080 Ti
772.66
Inception V4 (FP16)
1 GPU
NVIDIA RTX 2080 Ti
155.84
4 GPU
NVIDIA RTX 2080 Ti
564.62
Inception V4 (FP16 XLA)
4 GPU
NVIDIA RTX 2080 Ti
790.82
VGG16 (FP16)
1 GPU
NVIDIA RTX 2080 Ti
264.14
4 GPU
NVIDIA RTX 2080 Ti
578.14
VGG16 (FP16 XLA)
1 GPU
NVIDIA RTX 2080 Ti
324.85
4 GPU
NVIDIA RTX 2080 Ti
926.34
VGG16 (FP32)
1 GPU
NVIDIA RTX 2080 Ti
178.65
VGG16 (FP32 XLA)
1 GPU
NVIDIA RTX 2080 Ti
194.89
4 GPU
NVIDIA RTX 2080 Ti
528.33
3D, GPU Rendering Benchmarks 2023–2024 [Updated]
Blender
1 GPU
NVIDIA RTX 2080 Ti
3163.85
RELION Cryo-EM Benchmarks 2023-2024 [Updated]
BERT LARGE Training, Inference Benchmark 2023-2024 [Updated]
Llama3 70B Inference Benchmark 2024 [Updated]
Board Design
NVIDIA RTX 2080 Ti
NVIDIA Titan RTX
Length
267 mm
267 mm
Outputs
1x HDMI, 3x DisplayPort, 1x USB Type-C
1x HDMI, 3x DisplayPort, 1x USB Type-C
Power Connectors
2x 8-pin
2x 8-pin
Slot width
Dual-slot
Dual-slot
TDP
250 W
280 W
Clock Speeds
NVIDIA RTX 2080 Ti
NVIDIA Titan RTX
Boost Clock
1545 MHz
1770 MHz
GPU Clock
1350 MHz
1350 MHz
Memory Clock
14000 MHz
14000 MHz
Graphics Card
NVIDIA RTX 2080 Ti
NVIDIA Titan RTX
Bus Interface
PCIe 3.0 x16
PCIe 3.0 x16
Generation
GeForce 20
GeForce 20
Graphics Features
NVIDIA RTX 2080 Ti
NVIDIA Titan RTX
DirectX
12 Ultimate (12_1)
12 Ultimate (12_1)
OpenCL
2.0
2.0
OpenGL
4.6
4.6
Shader Model
6.5
6.5
CUDA
7.5
7.5
Graphics Processor
NVIDIA RTX 2080 Ti
NVIDIA Titan RTX
Architecture
Turing
Turing
Die Size
754 mm2
754 mm2
GPU Name
TU102-300A-K1-A1
TU102-400-A1
Process Size
12 nm
12 nm
Transistors
18600 million
18600 million
Memory
NVIDIA RTX 2080 Ti
NVIDIA Titan RTX
Bandwidth
616 GB/s
672 GB/s
Memory Bus
352 bit
384 bit
Memory Size
11 GB
24 GB
Memory Type
GDDR6
GDDR6
Render Config
NVIDIA RTX 2080 Ti
NVIDIA Titan RTX
ROPs
88
96
RT Cores
68
72
Shading Units/ CUDA Cores
4352
4608
TMUs
272
288
Tensor Cores
544
576
Theoretical Performance
NVIDIA RTX 2080 Ti
NVIDIA Titan RTX
FP16 (half) performance
26.9 TFLOPS
32.62 TFLOPS
FP32 (float) performance
13.45 TFLOPS
16.31 TFLOPS
FP64 (double) performance
420.2 GFLOPS
509.8 GFLOPS
Pixel Rate
136 GPixel/s
169.9 GPixel/s
Texture Rate
420.2 GTexel/s
509.8 GTexel/s
Price
NVIDIA RTX 2080 Ti
NVIDIA Titan RTX
MSRP
1199 $
2499 $
Release Date
Sep 20th, 2018
Dec 18th, 2018
Test bench configuration
NVIDIA RTX 2080 Ti
NVIDIA Titan RTX
Hardware
BIZON G3000 More details
BIZON ZX5000 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
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