Moore Threads MTT S1000M vs NVIDIA RTX 3500 Embedded Ada Generation
We compared two Desktop platform GPUs: 4GB VRAM Moore Threads MTT S1000M 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
Moore Threads MTT S1000M 's Advantages
Lower TDP (35W vs 100W)
NVIDIA RTX 3500 Embedded Ada Generation 's Advantages
Released 8 months late
Boost Clock2250MHz
More VRAM (12GB vs 4GB)
Larger VRAM bandwidth (432.0GB/s vs 224.0GB/s)
4096 additional rendering cores
Score
Benchmark
FP32 (float)
Moore Threads MTT S1000M
2.048 TFLOPS
RTX 3500 Embedded Ada Generation
+1025%
23.04 TFLOPS
Graphics Card
Jul 2022
Release Date
Mar 2023
MUSA-Chunxiao
Generation
Quadro Ada-M
Desktop
Type
Desktop
PCIe 4.0 x8
Bus Interface
PCIe 4.0 x16
Clock Speeds
1000 MHz
Base Clock
1725 MHz
-
Boost Clock
2250 MHz
1750 MHz
Memory Clock
2250 MHz
Memory
4GB
Memory Size
12GB
GDDR6
Memory Type
GDDR6
128bit
Memory Bus
192bit
224.0GB/s
Bandwidth
432.0GB/s
Render Config
8
Compute Units
-
-
SM Count
40
1024
Shading Units
5120
64
TMUs
160
64
ROPs
64
-
Tensor Cores
160
-
RT Cores
40
-
L1 Cache
128 KB (per SM)
1024 KB
L2 Cache
48 MB
-
-
-
Theoretical Performance
64.00 GPixel/s
Pixel Rate
144.0 GPixel/s
64.00 GTexel/s
Texture Rate
360.0 GTexel/s
4.096 TFLOPS
FP16 (half)
23.04 TFLOPS
2.048 TFLOPS
FP32 (float)
23.04 TFLOPS
32.00 GFLOPS
FP64 (double)
360.0 GFLOPS
Board Design
35W
TDP
100W
200 W
Suggested PSU
300 W
2x DisplayPort 1.2
Outputs
No outputs
None
Power Connectors
None
Graphics Processor
MTT Gen 1
GPU Name
AD104
-
-
-
MUSA-Chunxiao
Architecture
Ada Lovelace
TSMC
Foundry
TSMC
12 nm
Process Size
5 nm
Unknown
Transistors
35.8 billion
Unknown
Die Size
294 mm²
Graphics Features
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.4
Vulkan
1.3
-
CUDA
8.9
6.5
Shader Model
6.7
