Home GPU Comparison NVIDIA RTX 3500 Embedded Ada Generation vs AMD Radeon RX 580G

NVIDIA RTX 3500 Embedded Ada Generation vs AMD Radeon RX 580G

We compared two Desktop platform GPUs: 12GB VRAM RTX 3500 Embedded Ada Generation and 8GB VRAM Radeon RX 580G to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA RTX 3500 Embedded Ada Generation 's Advantages
Released 4 years and 5 months late
Boost Clock has increased by 69% (2250MHz vs 1330MHz)
More VRAM (12GB vs 8GB)
Larger VRAM bandwidth (432.0GB/s vs 256.0GB/s)
2816 additional rendering cores
Lower TDP (100W vs 185W)

Score

Benchmark

FP32 (float)
RTX 3500 Embedded Ada Generation +275%
23.04 TFLOPS
Radeon RX 580G
6.129 TFLOPS
VS

Graphics Card

Mar 2023
Release Date
Oct 2018
Quadro Ada-M
Generation
Polaris
Desktop
Type
Desktop
PCIe 4.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

1725 MHz
Base Clock
1257 MHz
2250 MHz
Boost Clock
1330 MHz
2250 MHz
Memory Clock
2000 MHz

Memory

12GB
Memory Size
8GB
GDDR6
Memory Type
GDDR5
192bit
Memory Bus
256bit
432.0GB/s
Bandwidth
256.0GB/s

Render Config

-
Compute Units
36
40
SM Count
-
5120
Shading Units
2304
160
TMUs
144
64
ROPs
32
160
Tensor Cores
-
40
RT Cores
-
128 KB (per SM)
L1 Cache
16 KB (per CU)
48 MB
L2 Cache
2 MB
-
-
-

Theoretical Performance

144.0 GPixel/s
Pixel Rate
42.56 GPixel/s
360.0 GTexel/s
Texture Rate
191.5 GTexel/s
23.04 TFLOPS
FP16 (half)
6.129 TFLOPS
23.04 TFLOPS
FP32 (float)
6.129 TFLOPS
360.0 GFLOPS
FP64 (double)
383.0 GFLOPS

Board Design

100W
TDP
185W
300 W
Suggested PSU
450 W
No outputs
Outputs
1x HDMI 2.0b 3x DisplayPort 1.4a
None
Power Connectors
1x 8-pin

Graphics Processor

AD104
GPU Name
Polaris 20
-
GPU Variant
Polaris 20 XTX (215-0910038)
Ada Lovelace
Architecture
GCN 4.0
TSMC
Foundry
GlobalFoundries
5 nm
Process Size
14 nm
35.8 billion
Transistors
5.7 billion
294 mm²
Die Size
232 mm²

Graphics Features

12 Ultimate (12_2)
DirectX
12 (12_0)
4.6
OpenGL
4.6
3.0
OpenCL
2.1
1.3
Vulkan
1.2
8.9
CUDA
-
6.7
Shader Model
6.4

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