NVIDIA GeForce GT 1030 vs NVIDIA RTX 3500 Embedded Ada Generation
We compared two Desktop platform GPUs: 2GB VRAM GeForce GT 1030 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 1030 's Advantages
Lower TDP (30W vs 100W)
NVIDIA RTX 3500 Embedded Ada Generation 's Advantages
Released 5 years and 10 months late
Boost Clock has increased by 53% (2250MHz vs 1468MHz)
More VRAM (12GB vs 2GB)
Larger VRAM bandwidth (432.0GB/s vs 48.06GB/s)
4736 additional rendering cores
Score
Benchmark
FP32 (float)
GeForce GT 1030
1.127 TFLOPS
RTX 3500 Embedded Ada Generation
+1944%
23.04 TFLOPS
Graphics Card
May 2017
Release Date
Mar 2023
GeForce 10
Generation
Quadro Ada-M
Desktop
Type
Desktop
PCIe 3.0 x4
Bus Interface
PCIe 4.0 x16
Clock Speeds
1228 MHz
Base Clock
1725 MHz
1468 MHz
Boost Clock
2250 MHz
1502 MHz
Memory Clock
2250 MHz
Memory
2GB
Memory Size
12GB
GDDR5
Memory Type
GDDR6
64bit
Memory Bus
192bit
48.06GB/s
Bandwidth
432.0GB/s
Render Config
-
-
-
3
SM Count
40
384
Shading Units
5120
24
TMUs
160
16
ROPs
64
-
Tensor Cores
160
-
RT Cores
40
48 KB (per SM)
L1 Cache
128 KB (per SM)
512 KB
L2 Cache
48 MB
-
-
-
Theoretical Performance
23.49 GPixel/s
Pixel Rate
144.0 GPixel/s
35.23 GTexel/s
Texture Rate
360.0 GTexel/s
17.62 GFLOPS
FP16 (half)
23.04 TFLOPS
1127 GFLOPS
FP32 (float)
23.04 TFLOPS
35.23 GFLOPS
FP64 (double)
360.0 GFLOPS
Board Design
30W
TDP
100W
200 W
Suggested PSU
300 W
1x DVI
1x HDMI 2.0
Outputs
No outputs
None
Power Connectors
None
Graphics Processor
GP108
GPU Name
AD104
GP108-300-A1
GPU Variant
-
Pascal
Architecture
Ada Lovelace
Samsung
Foundry
TSMC
14 nm
Process Size
5 nm
1.8 billion
Transistors
35.8 billion
74 mm²
Die Size
294 mm²
Graphics Features
12 (12_1)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
6.1
CUDA
8.9
6.4
Shader Model
6.7
