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Mobile and Tablet SoC Comparison
RTX A500 Embedded vs Tesla K20m
RTX A500 Embedded vs Tesla K20m
VS
NVIDIA RTX A500 Embedded
NVIDIA Tesla K20m
We compared two Professional market GPUs: 4GB VRAM RTX A500 Embedded and 5GB VRAM Tesla K20m to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
RTX A500 Embedded Advantages
Released 9 years and 2 months late
Boost Clock1335MHz
Lower TDP (20W vs 225W)
Tesla K20m Advantages
More VRAM (5GB vs 4GB)
Larger VRAM bandwidth (208.0GB/s vs 96.00GB/s)
448 additional rendering cores
Score
Benchmark
FP32 (float)
RTX A500 Embedded
+55%
5468
Tesla K20m
3524
RTX A500 Embedded
VS
Tesla K20m
Graphics Card
Mar 2022
Release Date
Jan 2013
Quadro Ampere-M
Generation
Tesla
Professional
Type
Professional
PCIe 4.0 x8
Bus Interface
PCIe 2.0 x16
Clock Speeds
435 MHz
Base Clock
-
1335 MHz
Boost Clock
-
1500 MHz
Memory Clock
1300 MHz
Memory
4GB
Memory Size
5GB
GDDR6
Memory Type
GDDR5
64bit
Memory Bus
320bit
96.00GB/s
Bandwidth
208.0GB/s
Render Config
16
SM Count
-
2048
Shading Units
2496
64
TMUs
208
32
ROPs
40
64
Tensor Cores
-
16
RT Cores
-
128 KB (per SM)
L1 Cache
16 KB (per SMX)
2 MB
L2 Cache
1280 KB
Theoretical Performance
42.72 GPixel/s
Pixel Rate
36.71 GPixel/s
85.44 GTexel/s
Texture Rate
146.8 GTexel/s
5.468 TFLOPS
FP16 (half)
-
5.468 TFLOPS
FP32 (float)
3.524 TFLOPS
85.44 GFLOPS
FP64 (double)
1175 GFLOPS
Board Design
20W
TDP
225W
-
Suggested PSU
550 W
Portable Device Dependent
Outputs
No outputs
None
Power Connectors
1x 6-pin + 1x 8-pin
Graphics Processor
GA107S
GPU Name
GK110
Ampere
Architecture
Kepler
Samsung
Foundry
TSMC
8 nm
Process Size
28 nm
8.7 billion
Transistors
7.08 billion
200 mm²
Die Size
561 mm²
Graphics Features
12 Ultimate (12_2)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.1
8.6
CUDA
3.5
6.7
Shader Model
5.1
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6
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