NVIDIA RTX 500 Mobile Ada Generation vs NVIDIA RTX 3000 Mobile Ada Generation
We compared two Mobile platform GPUs: 4GB VRAM RTX 500 Mobile Ada Generation and 8GB VRAM RTX 3000 Mobile Ada Generation to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA RTX 500 Mobile Ada Generation 's Advantages
Released 11 months late
Boost Clock has increased by 19% (2025MHz vs 1695MHz)
Lower TDP (35W vs 115W)
NVIDIA RTX 3000 Mobile Ada Generation 's Advantages
More VRAM (8GB vs 4GB)
Larger VRAM bandwidth (256.0GB/s vs 128.0GB/s)
2560 additional rendering cores
Score
Benchmark
FP32 (float)
RTX 500 Mobile Ada Generation
8.294 TFLOPS
RTX 3000 Mobile Ada Generation
+88%
15.62 TFLOPS
3DMark Time Spy
RTX 500 Mobile Ada Generation
4969
RTX 3000 Mobile Ada Generation
+79%
8910
Graphics Card
Feb 2024
Release Date
Mar 2023
Quadro Ada-M
Generation
Quadro Ada-M
Mobile
Type
Mobile
PCIe 4.0 x8
Bus Interface
PCIe 4.0 x16
Clock Speeds
1485 MHz
Base Clock
1395 MHz
2025 MHz
Boost Clock
1695 MHz
2000 MHz
Memory Clock
2000 MHz
Memory
4GB
Memory Size
8GB
GDDR6
Memory Type
GDDR6
64bit
Memory Bus
128bit
128.0GB/s
Bandwidth
256.0GB/s
Render Config
-
-
-
16
SM Count
36
2048
Shading Units
4608
64
TMUs
144
32
ROPs
48
64
Tensor Cores
144
16
RT Cores
36
128 KB (per SM)
L1 Cache
128 KB (per SM)
12 MB
L2 Cache
32 MB
-
-
-
Theoretical Performance
64.80 GPixel/s
Pixel Rate
81.36 GPixel/s
129.6 GTexel/s
Texture Rate
244.1 GTexel/s
8.294 TFLOPS
FP16 (half)
15.62 TFLOPS
8.294 TFLOPS
FP32 (float)
15.62 TFLOPS
129.6 GFLOPS
FP64 (double)
244.1 GFLOPS
Board Design
35W
TDP
115W
-
-
-
Portable Device Dependent
Outputs
Portable Device Dependent
None
Power Connectors
None
Graphics Processor
AD107
GPU Name
AD106
-
-
-
Ada Lovelace
Architecture
Ada Lovelace
TSMC
Foundry
TSMC
5 nm
Process Size
5 nm
18.9 billion
Transistors
22.9 billion
159 mm²
Die Size
188 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
1.3
8.9
CUDA
8.9
6.7
Shader Model
6.7
