Micro Computer (HK) Tech Limited MS-S1 MAX
Geekbench AI Score
2951
Single Precision Score
2966
Half Precision Score
2520
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | djamc |
| Upload Date | November 19 2025 05:04 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| 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% |
1874
348.6 IPS |
|
|
Image Classification (HP)
|
100% |
1820
338.5 IPS |
|
|
Image Classification (Q)
|
99% |
1932
360.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3218
52.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3138
50.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1682
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4578
5.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
4512
5.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
6459
7.57 IPS |
|
|
Object Detection (SP)
|
100% |
2250
178.5 IPS |
|
|
Object Detection (HP)
|
100% |
2254
178.8 IPS |
|
|
Object Detection (Q)
|
85% |
2191
176.4 IPS |
|
|
Face Detection (SP)
|
100% |
3698
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
3716
44.2 IPS |
|
|
Face Detection (Q)
|
97% |
3763
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3172
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3135
24.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
3110
29.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5541
7.12 IPS |
|
|
Style Transfer (HP)
|
100% |
5544
7.13 IPS |
|
|
Style Transfer (Q)
|
98% |
9584
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1999
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1987
73.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2666
98.8 IPS |
|
|
Text Classification (SP)
|
100% |
1597
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1796
2.40 KIPS |
|
|
Text Classification (Q)
|
92% |
965
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3886
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3945
68.0 IPS |
|
|
Machine Translation (Q)
|
58% |
781
18.3 IPS |
