Micro Computer (HK) Tech Limited MS-S1 MAX
Geekbench AI Score
58
Single Precision Score
56
Half Precision Score
45
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| Upload Date | November 23 2025 01:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Bazzite |
| 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 | 3.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.97 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
35
6.53 IPS |
|
|
Image Classification (HP)
|
100% |
22
4.09 IPS |
|
|
Image Classification (Q)
|
97% |
18
3.45 IPS |
|
|
Image Segmentation (SP)
|
100% |
33
0.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
33
0.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
26
0.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
51
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
50
0.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
54
0.06 IPS |
|
|
Object Detection (SP)
|
100% |
36
2.82 IPS |
|
|
Object Detection (HP)
|
100% |
36
2.82 IPS |
|
|
Object Detection (Q)
|
87% |
31
2.49 IPS |
|
|
Face Detection (SP)
|
100% |
117
1.39 IPS |
|
|
Face Detection (HP)
|
100% |
117
1.39 IPS |
|
|
Face Detection (Q)
|
97% |
99
1.18 IPS |
|
|
Depth Estimation (SP)
|
100% |
85
0.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
85
0.66 IPS |
|
|
Depth Estimation (Q)
|
64% |
64
0.58 IPS |
|
|
Style Transfer (SP)
|
100% |
180
0.23 IPS |
|
|
Style Transfer (HP)
|
100% |
180
0.23 IPS |
|
|
Style Transfer (Q)
|
98% |
162
0.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38
1.41 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38
1.41 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
34
1.25 IPS |
|
|
Text Classification (SP)
|
100% |
45
60.5 IPS |
|
|
Text Classification (HP)
|
100% |
45
60.5 IPS |
|
|
Text Classification (Q)
|
91% |
36
49.1 IPS |
|
|
Machine Translation (SP)
|
100% |
75
1.30 IPS |
|
|
Machine Translation (HP)
|
100% |
76
1.31 IPS |
|
|
Machine Translation (Q)
|
58% |
40
0.96 IPS |
