Micro Computer (HK) Tech Limited MS-S1 MAX
Geekbench AI Score
24601
Single Precision Score
30946
Half Precision Score
19083
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 28 2025 05:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
11574
2.15 KIPS |
|
|
Image Classification (HP)
|
100% |
12849
2.39 KIPS |
|
|
Image Classification (Q)
|
100% |
10575
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21171
343.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16807
272.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17534
285.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
121021
141.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
170643
199.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
102183
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
7242
574.5 IPS |
|
|
Object Detection (HP)
|
100% |
13022
1.03 KIPS |
|
|
Object Detection (Q)
|
87% |
7001
562.3 IPS |
|
|
Face Detection (SP)
|
100% |
29462
350.1 IPS |
|
|
Face Detection (HP)
|
100% |
45381
539.2 IPS |
|
|
Face Detection (Q)
|
97% |
22161
264.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
54463
419.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
67943
523.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
44929
360.3 IPS |
|
|
Style Transfer (SP)
|
100% |
213809
274.9 IPS |
|
|
Style Transfer (HP)
|
100% |
358977
461.5 IPS |
|
|
Style Transfer (Q)
|
98% |
176232
227.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40782
1.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49071
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31425
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3976
5.31 KIPS |
|
|
Text Classification (HP)
|
100% |
3950
5.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2764
3.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
6798
117.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7824
134.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3169
59.4 IPS |
