Home GPU Comparison NVIDIA GeForce GT 630 Rev. 2 PCIe x8 vs NVIDIA RTX 3500 Embedded Ada Generation

NVIDIA GeForce GT 630 Rev. 2 PCIe x8 vs NVIDIA RTX 3500 Embedded Ada Generation

We compared two Desktop platform GPUs: 2GB VRAM GeForce GT 630 Rev. 2 PCIe x8 and 12GB VRAM RTX 3500 Embedded Ada Generation to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA GeForce GT 630 Rev. 2 PCIe x8 's Advantages
Lower TDP (25W vs 100W)
NVIDIA RTX 3500 Embedded Ada Generation 's Advantages
Released 9 years and 10 months late
Boost Clock2250MHz
More VRAM (12GB vs 2GB)
Larger VRAM bandwidth (432.0GB/s vs 14.40GB/s)
4736 additional rendering cores

Score

Benchmark

FP32 (float)
GeForce GT 630 Rev. 2 PCIe x8
0.693 TFLOPS
RTX 3500 Embedded Ada Generation +3224%
23.04 TFLOPS
VS

Graphics Card

May 2013
Release Date
Mar 2023
GeForce 600
Generation
Quadro Ada-M
Desktop
Type
Desktop
PCIe 2.0 x8
Bus Interface
PCIe 4.0 x16

Clock Speeds

-
Base Clock
1725 MHz
-
Boost Clock
2250 MHz
900 MHz
Memory Clock
2250 MHz

Memory

2GB
Memory Size
12GB
DDR3
Memory Type
GDDR6
64bit
Memory Bus
192bit
14.40GB/s
Bandwidth
432.0GB/s

Render Config

-
-
-
-
SM Count
40
384
Shading Units
5120
32
TMUs
160
8
ROPs
64
-
Tensor Cores
160
-
RT Cores
40
16 KB (per SMX)
L1 Cache
128 KB (per SM)
512 KB
L2 Cache
48 MB
-
-
-

Theoretical Performance

7.216 GPixel/s
Pixel Rate
144.0 GPixel/s
28.86 GTexel/s
Texture Rate
360.0 GTexel/s
-
FP16 (half)
23.04 TFLOPS
692.7 GFLOPS
FP32 (float)
23.04 TFLOPS
28.86 GFLOPS
FP64 (double)
360.0 GFLOPS

Board Design

25W
TDP
100W
200 W
Suggested PSU
300 W
1x DVI 1x HDMI 1.4a 1x VGA
Outputs
No outputs
None
Power Connectors
None

Graphics Processor

GK208
GPU Name
AD104
GK208-301-A1
GPU Variant
-
Kepler 2.0
Architecture
Ada Lovelace
TSMC
Foundry
TSMC
28 nm
Process Size
5 nm
1.02 billion
Transistors
35.8 billion
87 mm²
Die Size
294 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
8.9
5.1
Shader Model
6.7

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