Home GPU Comparison NVIDIA Tesla M40 24 GB vs NVIDIA Quadro RTX 6000 Mobile

NVIDIA Tesla M40 24 GB vs NVIDIA Quadro RTX 6000 Mobile

We compared two Professional market GPUs: 24GB VRAM Tesla M40 24 GB and 24GB VRAM Quadro RTX 6000 Mobile to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro RTX 6000 Mobile 's Advantages
Released 3 years and 10 months late
Boost Clock has increased by 31% (1455MHz vs 1112MHz)
Larger VRAM bandwidth (672.0GB/s vs 288.4GB/s)
1536 additional rendering cores

Score

Benchmark

FP32 (float)
Tesla M40 24 GB
6.832 TFLOPS
Quadro RTX 6000 Mobile +96%
13.41 TFLOPS
Blender
Tesla M40 24 GB
478
Quadro RTX 6000 Mobile +514%
2937
OctaneBench
Tesla M40 24 GB
130
Quadro RTX 6000 Mobile +173%
355
VS

Graphics Card

Nov 2015
Release Date
Sep 2019
Tesla Maxwell
Generation
Quadro Turing-M
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

948 MHz
Base Clock
1275 MHz
1112 MHz
Boost Clock
1455 MHz
1502 MHz
Memory Clock
1750 MHz

Memory

24GB
Memory Size
24GB
GDDR5
Memory Type
GDDR6
384bit
Memory Bus
384bit
288.4GB/s
Bandwidth
672.0GB/s

Render Config

-
-
-
-
SM Count
72
3072
Shading Units
4608
192
TMUs
288
96
ROPs
96
-
Tensor Cores
576
-
RT Cores
72
48 KB (per SMM)
L1 Cache
64 KB (per SM)
3 MB
L2 Cache
6 MB
-
-
-

Theoretical Performance

106.8 GPixel/s
Pixel Rate
139.7 GPixel/s
213.5 GTexel/s
Texture Rate
419.0 GTexel/s
-
FP16 (half)
26.82 TFLOPS
6.832 TFLOPS
FP32 (float)
13.41 TFLOPS
213.5 GFLOPS
FP64 (double)
419.0 GFLOPS

Board Design

250W
TDP
Unknown
600 W
Suggested PSU
-
No outputs
Outputs
Portable Device Dependent
8-pin EPS
Power Connectors
None

Graphics Processor

GM200
GPU Name
TU102
GM200-895-A1
GPU Variant
-
Maxwell 2.0
Architecture
Turing
TSMC
Foundry
TSMC
28 nm
Process Size
12 nm
8 billion
Transistors
18.6 billion
601 mm²
Die Size
754 mm²

Graphics Features

12 (12_1)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
5.2
CUDA
7.5
6.7
Shader Model
6.7

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