Micro Computer (HK) Tech Limited MS-S1 MAX
Geekbench AI Score
2875
Single Precision Score
2955
Half Precision Score
2522
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 18 2025 05:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | Micro Computer (HK) Tech Limited MS-S1 MAX |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd SHWSA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 5.19 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 123.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1762
327.7 IPS |
|
|
Image Classification (HP)
|
100% |
1833
340.9 IPS |
|
|
Image Classification (Q)
|
99% |
1919
357.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3110
50.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3198
51.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1692
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4379
5.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
4425
5.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
6242
7.31 IPS |
|
|
Object Detection (SP)
|
100% |
2205
174.9 IPS |
|
|
Object Detection (HP)
|
100% |
2209
175.2 IPS |
|
|
Object Detection (Q)
|
85% |
2237
180.1 IPS |
|
|
Face Detection (SP)
|
100% |
3448
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
3542
42.1 IPS |
|
|
Face Detection (Q)
|
97% |
3798
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3125
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3140
24.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
3128
29.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5530
7.11 IPS |
|
|
Style Transfer (HP)
|
100% |
5615
7.22 IPS |
|
|
Style Transfer (Q)
|
98% |
9563
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1967
72.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1949
72.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2718
100.7 IPS |
|
|
Text Classification (SP)
|
100% |
1625
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1816
2.42 KIPS |
|
|
Text Classification (Q)
|
92% |
951
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3838
66.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4021
69.3 IPS |
|
|
Machine Translation (Q)
|
58% |
784
18.4 IPS |
