Home GPU Comparison NVIDIA RTX A4500 Embedded vs NVIDIA RTX A2000 Embedded

NVIDIA RTX A4500 Embedded vs NVIDIA RTX A2000 Embedded

We compared two Professional market GPUs: 16GB VRAM RTX A4500 Embedded and 8GB VRAM RTX A2000 Embedded to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA RTX A4500 Embedded 's Advantages
More VRAM (16GB vs 8GB)
Larger VRAM bandwidth (384.0GB/s vs 192.0GB/s)
3328 additional rendering cores
NVIDIA RTX A2000 Embedded 's Advantages
Boost Clock has increased by 33% (1612MHz vs 1215MHz)
Lower TDP (60W vs 80W)

Score

Benchmark

FP32 (float)
RTX A4500 Embedded +73%
14.31 TFLOPS
RTX A2000 Embedded
8.253 TFLOPS
Blender
RTX A4500 Embedded +95%
3920
RTX A2000 Embedded
2001
OctaneBench
RTX A4500 Embedded +77%
482
RTX A2000 Embedded
271
VS

Graphics Card

Mar 2022
Release Date
Unknown
Quadro Ampere-M
Generation
Quadro Mobile
Professional
Type
Professional
PCIe 4.0 x16
Bus Interface
PCIe 4.0 x16

Clock Speeds

510 MHz
Base Clock
1117 MHz
1215 MHz
Boost Clock
1612 MHz
1500 MHz
Memory Clock
1500 MHz

Memory

16GB
Memory Size
8GB
GDDR6
Memory Type
GDDR6
256bit
Memory Bus
128bit
384.0GB/s
Bandwidth
192.0GB/s

Render Config

-
-
-
46
SM Count
20
5888
Shading Units
2560
184
TMUs
80
96
ROPs
48
184
Tensor Cores
80
46
RT Cores
20
128 KB (per SM)
L1 Cache
128 KB (per SM)
4 MB
L2 Cache
2 MB
-
-
-

Theoretical Performance

116.6 GPixel/s
Pixel Rate
77.38 GPixel/s
223.6 GTexel/s
Texture Rate
129.0 GTexel/s
14.31 TFLOPS
FP16 (half)
8.253 TFLOPS
14.31 TFLOPS
FP32 (float)
8.253 TFLOPS
223.6 GFLOPS
FP64 (double)
129.0 GFLOPS

Board Design

80W
TDP
60W
-
-
-
Portable Device Dependent
Outputs
No outputs
None
Power Connectors
None

Graphics Processor

GA104
GPU Name
GA107S
-
-
-
Ampere
Architecture
Ampere
Samsung
Foundry
Samsung
8 nm
Process Size
8 nm
17.4 billion
Transistors
Unknown
392 mm²
Die Size
Unknown

Graphics Features

12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
8.6
CUDA
8.6
6.7
Shader Model
6.6

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