Home GPU Comparison NVIDIA Tesla K20Xm vs NVIDIA RTX A4500 Embedded

NVIDIA Tesla K20Xm vs NVIDIA RTX A4500 Embedded

We compared two Professional market GPUs: 6GB VRAM Tesla K20Xm and 16GB VRAM RTX A4500 Embedded to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA RTX A4500 Embedded 's Advantages
Released 9 years and 4 months late
Boost Clock1215MHz
More VRAM (16GB vs 6GB)
Larger VRAM bandwidth (384.0GB/s vs 249.6GB/s)
3200 additional rendering cores
Lower TDP (80W vs 235W)

Score

Benchmark

FP32 (float)
Tesla K20Xm
3.935 TFLOPS
RTX A4500 Embedded +263%
14.31 TFLOPS
Blender
Tesla K20Xm
372
RTX A4500 Embedded +953%
3920
OctaneBench
Tesla K20Xm
63
RTX A4500 Embedded +665%
482

Graphics Card

Nov 2012
Release Date
Mar 2022
Tesla
Generation
Quadro Ampere-M
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 4.0 x16

Clock Speeds

-
Base Clock
510 MHz
-
Boost Clock
1215 MHz
1300 MHz
Memory Clock
1500 MHz

Memory

6GB
Memory Size
16GB
GDDR5
Memory Type
GDDR6
384bit
Memory Bus
256bit
249.6GB/s
Bandwidth
384.0GB/s

Render Config

-
-
-
-
SM Count
46
2688
Shading Units
5888
224
TMUs
184
48
ROPs
96
-
Tensor Cores
184
-
RT Cores
46
16 KB (per SMX)
L1 Cache
128 KB (per SM)
1536 KB
L2 Cache
4 MB
-
-
-

Theoretical Performance

40.99 GPixel/s
Pixel Rate
116.6 GPixel/s
164.0 GTexel/s
Texture Rate
223.6 GTexel/s
-
FP16 (half)
14.31 TFLOPS
3.935 TFLOPS
FP32 (float)
14.31 TFLOPS
1312 GFLOPS
FP64 (double)
223.6 GFLOPS

Board Design

235W
TDP
80W
550 W
Suggested PSU
-
No outputs
Outputs
Portable Device Dependent
-
Power Connectors
None

Graphics Processor

GK110
GPU Name
GA104
-
-
-
Kepler
Architecture
Ampere
TSMC
Foundry
Samsung
28 nm
Process Size
8 nm
7.08 billion
Transistors
17.4 billion
561 mm²
Die Size
392 mm²

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
6.7
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