Home GPU Comparison NVIDIA Tesla M60 vs NVIDIA Quadro T1000 Max Q

NVIDIA Tesla M60 vs NVIDIA Quadro T1000 Max Q

We compared two Professional market GPUs: 8GB VRAM Tesla M60 and 4GB VRAM Quadro T1000 Max Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla M60 's Advantages
More VRAM (8GB vs 4GB)
Larger VRAM bandwidth (160.4GB/s vs 80.00GB/s)
1152 additional rendering cores
NVIDIA Quadro T1000 Max Q 's Advantages
Released 3 years and 9 months late
Boost Clock has increased by 15% (1350MHz vs 1178MHz)
Lower TDP (50W vs 300W)

Score

Benchmark

FP32 (float)
Tesla M60 +99%
4.825 TFLOPS
Quadro T1000 Max Q
2.419 TFLOPS
Blender
Tesla M60
326
Quadro T1000 Max Q +29%
422
OctaneBench
Tesla M60 +47%
81
Quadro T1000 Max Q
55
VS

Graphics Card

Aug 2015
Release Date
May 2019
Tesla
Generation
Quadro Mobile
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

557 MHz
Base Clock
765 MHz
1178 MHz
Boost Clock
1350 MHz
1253 MHz
Memory Clock
1250 MHz

Memory

8GB
Memory Size
4GB
GDDR5
Memory Type
GDDR5
256bit
Memory Bus
128bit
160.4GB/s
Bandwidth
80.00GB/s

Render Config

-
SM Count
14
-
Compute Units
-
2048
Shading Units
896
128
TMUs
56
64
ROPs
32
-
Tensor Cores
-
-
RT Cores
-
48 KB (per SMM)
L1 Cache
64 KB (per SM)
2 MB
L2 Cache
1024 KB

Theoretical Performance

75.39 GPixel/s
Pixel Rate
43.20 GPixel/s
150.8 GTexel/s
Texture Rate
75.60 GTexel/s
-
FP16 (half)
4.838 TFLOPS
4.825 TFLOPS
FP32 (float)
2.419 TFLOPS
150.8 GFLOPS
FP64 (double)
75.60 GFLOPS

Graphics Processor

GM204
GPU Name
TU117
-
GPU Variant
-
Maxwell 2.0
Architecture
Turing
TSMC
Foundry
TSMC
28 nm
Process Size
12 nm
5.2 billion
Transistors
4.7 billion
398 mm²
Die Size
200 mm²

Board Design

300W
TDP
50W
700 W
Suggested PSU
-
No outputs
Outputs
No outputs
1x 8-pin
Power Connectors
None

Graphics Features

12 (12_1)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
5.2
CUDA
7.5
6.4
Shader Model
6.6

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