Home GPU Comparison NVIDIA Tesla K20Xm vs NVIDIA RTX A1000 Embedded

NVIDIA Tesla K20Xm vs NVIDIA RTX A1000 Embedded

We compared two Professional market GPUs: 6GB VRAM Tesla K20Xm and 4GB VRAM RTX A1000 Embedded to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K20Xm 's Advantages
More VRAM (6GB vs 4GB)
Larger VRAM bandwidth (249.6GB/s vs 224.0GB/s)
640 additional rendering cores
NVIDIA RTX A1000 Embedded 's Advantages
Released 9 years and 2 months late
Boost Clock1627MHz
Lower TDP (60W vs 235W)

Score

Benchmark

FP32 (float)
Tesla K20Xm
3.935 TFLOPS
RTX A1000 Embedded +69%
6.664 TFLOPS
VS

Graphics Card

Nov 2012
Release Date
Jan 2022
Tesla
Generation
Quadro Mobile
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 4.0 x16

Clock Speeds

-
Base Clock
1192 MHz
-
Boost Clock
1627 MHz
1300 MHz
Memory Clock
1750 MHz

Memory

6GB
Memory Size
4GB
GDDR5
Memory Type
GDDR6
384bit
Memory Bus
128bit
249.6GB/s
Bandwidth
224.0GB/s

Render Config

-
SM Count
16
-
Compute Units
-
2688
Shading Units
2048
224
TMUs
64
48
ROPs
48
-
Tensor Cores
64
-
RT Cores
16
16 KB (per SMX)
L1 Cache
128 KB (per SM)
1536 KB
L2 Cache
2 MB

Theoretical Performance

40.99 GPixel/s
Pixel Rate
78.10 GPixel/s
164.0 GTexel/s
Texture Rate
104.1 GTexel/s
-
FP16 (half)
6.664 TFLOPS
3.935 TFLOPS
FP32 (float)
6.664 TFLOPS
1312 GFLOPS
FP64 (double)
104.1 GFLOPS

Graphics Processor

GK110
GPU Name
GA107S
-
GPU Variant
-
Kepler
Architecture
Ampere
TSMC
Foundry
Samsung
28 nm
Process Size
8 nm
7.08 billion
Transistors
Unknown
561 mm²
Die Size
Unknown

Board Design

235W
TDP
60W
550 W
Suggested PSU
-
No outputs
Outputs
No outputs
-
Power Connectors
None

Graphics Features

12 (11_0)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.1
Vulkan
1.3
3.5
CUDA
8.6
5.1
Shader Model
6.6

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