Moore Threads MTT S1000M vs NVIDIA RTX 4000 Ada Generation
We compared two Desktop platform GPUs: 4GB VRAM Moore Threads MTT S1000M and 20GB VRAM RTX 4000 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 130W)
NVIDIA RTX 4000 Ada Generation 's Advantages
Released 1 years and 1 months late
Boost Clock2175MHz
More VRAM (20GB vs 4GB)
Larger VRAM bandwidth (360.0GB/s vs 224.0GB/s)
5120 additional rendering cores
Score
Benchmark
FP32 (float)
Moore Threads MTT S1000M
2.048 TFLOPS
RTX 4000 Ada Generation
+1205%
26.73 TFLOPS
Graphics Card
Jul 2022
Release Date
Aug 2023
MUSA-Chunxiao
Generation
Workstation Ada
Desktop
Type
Desktop
PCIe 4.0 x8
Bus Interface
PCIe 4.0 x16
Clock Speeds
1000 MHz
Base Clock
1500 MHz
-
Boost Clock
2175 MHz
1750 MHz
Memory Clock
2250 MHz
Memory
4GB
Memory Size
20GB
GDDR6
Memory Type
GDDR6
128bit
Memory Bus
160bit
224.0GB/s
Bandwidth
360.0GB/s
Render Config
8
Compute Units
-
-
SM Count
48
1024
Shading Units
6144
64
TMUs
192
64
ROPs
64
-
Tensor Cores
192
-
RT Cores
48
-
L1 Cache
128 KB (per SM)
1024 KB
L2 Cache
48 MB
-
-
-
Theoretical Performance
64.00 GPixel/s
Pixel Rate
139.2 GPixel/s
64.00 GTexel/s
Texture Rate
417.6 GTexel/s
4.096 TFLOPS
FP16 (half)
26.73 TFLOPS
2.048 TFLOPS
FP32 (float)
26.73 TFLOPS
32.00 GFLOPS
FP64 (double)
417.6 GFLOPS
Board Design
35W
TDP
130W
200 W
Suggested PSU
300 W
2x DisplayPort 1.2
Outputs
4x DisplayPort 1.4a
None
Power Connectors
1x 16-pin
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
6.8
