Home GPU Comparison NVIDIA RTX A1000 Embedded vs NVIDIA Quadro RTX 3000 Mobile Refresh

NVIDIA RTX A1000 Embedded vs NVIDIA Quadro RTX 3000 Mobile Refresh

We compared two Professional market GPUs: 4GB VRAM RTX A1000 Embedded and 6GB VRAM Quadro RTX 3000 Mobile Refresh to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA RTX A1000 Embedded 's Advantages
Released 2 years and 8 months late
Boost Clock has increased by 18% (1627MHz vs 1380MHz)
128 additional rendering cores
Lower TDP (60W vs 80W)
NVIDIA Quadro RTX 3000 Mobile Refresh 's Advantages
More VRAM (6GB vs 4GB)
Larger VRAM bandwidth (336.0GB/s vs 224.0GB/s)

Score

Benchmark

FP32 (float)
RTX A1000 Embedded +25%
6.664 TFLOPS
Quadro RTX 3000 Mobile Refresh
5.299 TFLOPS
VS

Graphics Card

Jan 2022
Release Date
May 2019
Quadro Mobile
Generation
Quadro Mobile
Professional
Type
Professional
PCIe 4.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

1192 MHz
Base Clock
945 MHz
1627 MHz
Boost Clock
1380 MHz
1750 MHz
Memory Clock
1750 MHz

Memory

4GB
Memory Size
6GB
GDDR6
Memory Type
GDDR6
128bit
Memory Bus
192bit
224.0GB/s
Bandwidth
336.0GB/s

Render Config

16
SM Count
30
-
Compute Units
-
2048
Shading Units
1920
64
TMUs
120
48
ROPs
64
64
Tensor Cores
240
16
RT Cores
30
128 KB (per SM)
L1 Cache
64 KB (per SM)
2 MB
L2 Cache
4 MB

Theoretical Performance

78.10 GPixel/s
Pixel Rate
88.32 GPixel/s
104.1 GTexel/s
Texture Rate
165.6 GTexel/s
6.664 TFLOPS
FP16 (half)
10.60 TFLOPS
6.664 TFLOPS
FP32 (float)
5.299 TFLOPS
104.1 GFLOPS
FP64 (double)
165.6 GFLOPS

Graphics Processor

GA107S
GPU Name
TU106
-
GPU Variant
N19E-Q1-KD-A1
Ampere
Architecture
Turing
Samsung
Foundry
TSMC
8 nm
Process Size
12 nm
Unknown
Transistors
10.8 billion
Unknown
Die Size
445 mm²

Board Design

60W
TDP
80W
-
Suggested PSU
-
No outputs
Outputs
No outputs
None
Power Connectors
None

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
7.5
6.6
Shader Model
6.6

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