Micro Computer (HK) Tech Limited MS-S1 MAX
Geekbench AI Score
2892
Single Precision Score
2907
Half Precision Score
2472
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 30 2025 02:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | NixOS 25.11 (Xantusia) |
| 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 | 124.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1706
317.3 IPS |
|
|
Image Classification (HP)
|
100% |
1749
325.2 IPS |
|
|
Image Classification (Q)
|
99% |
1837
342.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3043
49.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3137
50.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1596
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4424
5.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
4463
5.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
6471
7.58 IPS |
|
|
Object Detection (SP)
|
100% |
2238
177.5 IPS |
|
|
Object Detection (HP)
|
100% |
2195
174.1 IPS |
|
|
Object Detection (Q)
|
85% |
2099
169.0 IPS |
|
|
Face Detection (SP)
|
100% |
3604
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
3581
42.5 IPS |
|
|
Face Detection (Q)
|
97% |
3674
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3202
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3210
24.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
3031
28.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5271
6.78 IPS |
|
|
Style Transfer (HP)
|
100% |
5322
6.84 IPS |
|
|
Style Transfer (Q)
|
98% |
9340
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1876
69.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1968
72.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2631
97.5 IPS |
|
|
Text Classification (SP)
|
100% |
1811
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1721
2.30 KIPS |
|
|
Text Classification (Q)
|
92% |
949
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3859
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3883
66.9 IPS |
|
|
Machine Translation (Q)
|
58% |
824
19.3 IPS |
