Home GPU Comparison NVIDIA GeForce RTX 4060 Max-Q vs NVIDIA RTX 3500 Mobile Ada Generation

NVIDIA GeForce RTX 4060 Max-Q vs NVIDIA RTX 3500 Mobile Ada Generation

We compared two Mobile platform GPUs: 8GB VRAM GeForce RTX 4060 Max Q and 12GB VRAM RTX 3500 Mobile Ada Generation to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA GeForce RTX 4060 Max-Q 's Advantages
Lower TDP (35W vs 100W)
NVIDIA RTX 3500 Mobile Ada Generation 's Advantages
Boost Clock has increased by 5% (1545MHz vs 1470MHz)
More VRAM (12GB vs 8GB)
Larger VRAM bandwidth (432.0GB/s vs 256.0GB/s)
2048 additional rendering cores

Score

Benchmark

FP32 (float)
GeForce RTX 4060 Max Q
9.032 TFLOPS
RTX 3500 Mobile Ada Generation +75%
15.82 TFLOPS
VS

Graphics Card

Jan 2023
Release Date
Mar 2023
GeForce 40 Mobile
Generation
Quadro Ada-M
Mobile
Type
Mobile
PCIe 4.0 x16
Bus Interface
PCIe 4.0 x16

Clock Speeds

1140 MHz
Base Clock
1110 MHz
1470 MHz
Boost Clock
1545 MHz
2000 MHz
Memory Clock
2250 MHz

Memory

8GB
Memory Size
12GB
GDDR6
Memory Type
GDDR6
128bit
Memory Bus
192bit
256.0GB/s
Bandwidth
432.0GB/s

Render Config

24
SM Count
40
-
Compute Units
-
3072
Shading Units
5120
96
TMUs
160
48
ROPs
64
96
Tensor Cores
160
24
RT Cores
40
128 KB (per SM)
L1 Cache
128 KB (per SM)
32 MB
L2 Cache
48 MB

Theoretical Performance

70.56 GPixel/s
Pixel Rate
98.88 GPixel/s
141.1 GTexel/s
Texture Rate
247.2 GTexel/s
9.032 TFLOPS
FP16 (half)
15.82 TFLOPS
9.032 TFLOPS
FP32 (float)
15.82 TFLOPS
141.1 GFLOPS
FP64 (double)
247.2 GFLOPS

Graphics Processor

AD107
GPU Name
AD104
GN21-X4
GPU Variant
-
Ada Lovelace
Architecture
Ada Lovelace
TSMC
Foundry
TSMC
5 nm
Process Size
5 nm
Unknown
Transistors
35.8 billion
146 mm²
Die Size
294 mm²

Board Design

35W
TDP
100W
-
Suggested PSU
-
Portable Device Dependent
Outputs
Portable Device Dependent
None
Power Connectors
None

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

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