Micro Computer (HK) Tech Limited MS-S1 MAX
Geekbench AI Score
25094
Single Precision Score
31652
Half Precision Score
19841
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Schopenhauer |
| Upload Date | December 08 2025 07:35 AM |
| 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 | Ausbalanciert |
| 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% |
12156
2.26 KIPS |
|
|
Image Classification (HP)
|
100% |
13381
2.49 KIPS |
|
|
Image Classification (Q)
|
100% |
10891
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21490
348.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16498
267.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18400
299.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
117303
136.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
196422
229.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
105580
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
7335
581.8 IPS |
|
|
Object Detection (HP)
|
100% |
13323
1.06 KIPS |
|
|
Object Detection (Q)
|
87% |
7120
571.9 IPS |
|
|
Face Detection (SP)
|
100% |
29393
349.3 IPS |
|
|
Face Detection (HP)
|
100% |
44467
528.4 IPS |
|
|
Face Detection (Q)
|
97% |
24592
293.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
54661
421.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
68233
525.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
41281
331.1 IPS |
|
|
Style Transfer (SP)
|
100% |
246004
316.2 IPS |
|
|
Style Transfer (HP)
|
100% |
384942
494.8 IPS |
|
|
Style Transfer (Q)
|
98% |
208877
269.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41033
1.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48644
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31955
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3955
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4021
5.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2758
3.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
6869
118.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7649
131.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3360
63.0 IPS |
