Home GPU Comparison NVIDIA RTX 3500 Embedded Ada Generation vs NVIDIA GeForce RTX 5070

NVIDIA RTX 3500 Embedded Ada Generation vs NVIDIA GeForce RTX 5070

We compared two Desktop platform GPUs: 12GB VRAM RTX 3500 Embedded Ada Generation and 12GB VRAM GeForce RTX 5070 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
Lower TDP (100W vs 250W)
NVIDIA GeForce RTX 5070 's Advantages
Released 2 years late
Boost Clock has increased by 12% (2512MHz vs 2250MHz)
Larger VRAM bandwidth (672.0GB/s vs 432.0GB/s)
1024 additional rendering cores

Score

Benchmark

FP32 (float)
RTX 3500 Embedded Ada Generation
23.04 TFLOPS
GeForce RTX 5070 +33%
30.87 TFLOPS

Graphics Card

Mar 2023
Release Date
Mar 2025
Quadro Ada-M
Generation
GeForce 50
Desktop
Type
Desktop
PCIe 4.0 x16
Bus Interface
PCIe 5.0 x16

Clock Speeds

1725 MHz
Base Clock
2325 MHz
2250 MHz
Boost Clock
2512 MHz
2250 MHz
Memory Clock
1750 MHz

Memory

12GB
Memory Size
12GB
GDDR6
Memory Type
GDDR7
192bit
Memory Bus
192bit
432.0GB/s
Bandwidth
672.0GB/s

Render Config

-
-
-
40
SM Count
48
5120
Shading Units
6144
160
TMUs
192
64
ROPs
80
160
Tensor Cores
192
40
RT Cores
48
128 KB (per SM)
L1 Cache
128 KB (per SM)
48 MB
L2 Cache
48 MB
-
-
-

Theoretical Performance

144.0 GPixel/s
Pixel Rate
201.0 GPixel/s
360.0 GTexel/s
Texture Rate
482.3 GTexel/s
23.04 TFLOPS
FP16 (half)
30.87 TFLOPS
23.04 TFLOPS
FP32 (float)
30.87 TFLOPS
360.0 GFLOPS
FP64 (double)
482.3 GFLOPS

Board Design

100W
TDP
250W
300 W
Suggested PSU
600 W
No outputs
Outputs
1x HDMI 2.1b 3x DisplayPort 2.1b
None
Power Connectors
1x 16-pin

Graphics Processor

AD104
GPU Name
GB205
-
GPU Variant
GB205-300-A1
Ada Lovelace
Architecture
Blackwell 2.0
TSMC
Foundry
TSMC
5 nm
Process Size
5 nm
35.8 billion
Transistors
31.1 billion
294 mm²
Die Size
263 mm²

Graphics Features

12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.4
8.9
CUDA
10.1
6.7
Shader Model
6.8
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