Micro Computer (HK) Tech Limited MS-S1 MAX
Geekbench AI Score
13516
Single Precision Score
13714
Half Precision Score
32876
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | djamc |
| Upload Date | November 19 2025 05:13 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| Model | Micro Computer (HK) Tech Limited MS-S1 MAX |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd SHWSA |
| 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 | 5.19 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 123.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6460
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
7542
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
17311
3.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9571
155.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9735
157.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25791
418.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27539
32.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
27837
32.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
112142
131.3 IPS |
|
|
Object Detection (SP)
|
100% |
8773
695.9 IPS |
|
|
Object Detection (HP)
|
100% |
8837
701.0 IPS |
|
|
Object Detection (Q)
|
88% |
20639
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
19916
236.6 IPS |
|
|
Face Detection (HP)
|
100% |
20075
238.5 IPS |
|
|
Face Detection (Q)
|
100% |
58211
691.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
24063
185.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
24067
185.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
64020
498.2 IPS |
|
|
Style Transfer (SP)
|
100% |
64916
83.5 IPS |
|
|
Style Transfer (HP)
|
100% |
65320
84.0 IPS |
|
|
Style Transfer (Q)
|
98% |
253332
326.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13246
489.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13349
492.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37361
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
4339
5.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4045
5.40 KIPS |
|
|
Text Classification (Q)
|
92% |
4838
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
7623
131.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7648
131.7 IPS |
|
|
Machine Translation (Q)
|
100% |
8367
144.1 IPS |
