Micro Computer (HK) Tech Limited MS-S1 MAX
Geekbench AI Score
7312
Single Precision Score
7112
Half Precision Score
19538
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 28 2025 06:02 PM |
| 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 | 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% |
4255
791.3 IPS |
|
|
Image Classification (HP)
|
100% |
4531
842.6 IPS |
|
|
Image Classification (Q)
|
100% |
12597
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5075
82.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5082
82.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12805
207.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10286
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10226
11.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
37786
44.2 IPS |
|
|
Object Detection (SP)
|
100% |
4582
363.4 IPS |
|
|
Object Detection (HP)
|
100% |
4141
328.5 IPS |
|
|
Object Detection (Q)
|
88% |
12296
985.7 IPS |
|
|
Face Detection (SP)
|
100% |
10203
121.2 IPS |
|
|
Face Detection (HP)
|
100% |
10621
126.2 IPS |
|
|
Face Detection (Q)
|
100% |
31016
368.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9466
72.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9162
70.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
30806
239.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28793
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26286
33.8 IPS |
|
|
Style Transfer (Q)
|
98% |
102305
131.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5326
196.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6491
239.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18866
698.7 IPS |
|
|
Text Classification (SP)
|
100% |
4330
5.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (Q)
|
92% |
6788
9.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
6694
115.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6321
108.9 IPS |
|
|
Machine Translation (Q)
|
100% |
8642
148.9 IPS |
