Micro Computer (HK) Tech Limited MS-S1 MAX
Geekbench AI Score
6218
Single Precision Score
2384
Half Precision Score
11339
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Wolfgang1756 |
| Upload Date | January 31 2026 06:11 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro Computer (HK) Tech Limited MS-S1 MAX |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd SHWSA |
| Power Plan | Balanced |
| 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 | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5102
948.9 IPS |
|
|
Image Classification (HP)
|
100% |
725
134.8 IPS |
|
|
Image Classification (Q)
|
99% |
11850
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1074
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15757
256.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15031
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11798
13.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
50708
59.5 IPS |
|
|
Object Detection (SP)
|
100% |
5322
422.1 IPS |
|
|
Object Detection (HP)
|
100% |
957
75.9 IPS |
|
|
Object Detection (Q)
|
86% |
12980
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
11252
133.7 IPS |
|
|
Face Detection (HP)
|
100% |
2074
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
13771
164.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15234
117.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3159
24.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11855
94.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32059
41.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26743
34.4 IPS |
|
|
Style Transfer (Q)
|
98% |
51755
66.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4013
148.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3487
128.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4243
157.1 IPS |
|
|
Text Classification (SP)
|
100% |
2327
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
960
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1667
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3160
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1153
19.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4785
96.2 IPS |
