Micro Computer (HK) Tech Limited MS-S1 MAX
Geekbench AI Score
7313
Single Precision Score
6807
Half Precision Score
18946
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Schopenhauer |
| Upload Date | December 08 2025 08:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| 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% |
5668
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
4616
858.5 IPS |
|
|
Image Classification (Q)
|
100% |
12391
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5236
84.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4573
74.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10765
174.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9681
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
9355
10.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
35725
41.8 IPS |
|
|
Object Detection (SP)
|
100% |
4440
352.2 IPS |
|
|
Object Detection (HP)
|
100% |
4031
319.8 IPS |
|
|
Object Detection (Q)
|
88% |
11140
893.0 IPS |
|
|
Face Detection (SP)
|
100% |
10656
126.6 IPS |
|
|
Face Detection (HP)
|
100% |
8619
102.4 IPS |
|
|
Face Detection (Q)
|
100% |
30347
360.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10579
81.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12187
93.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
35570
276.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24671
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24632
31.7 IPS |
|
|
Style Transfer (Q)
|
98% |
109927
141.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5516
203.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4534
167.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16975
628.6 IPS |
|
|
Text Classification (SP)
|
100% |
3940
5.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4042
5.39 KIPS |
|
|
Text Classification (Q)
|
92% |
6132
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5676
97.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5665
97.6 IPS |
|
|
Machine Translation (Q)
|
100% |
9091
156.6 IPS |
