Micro Computer (HK) Tech Limited MS-S1 MAX
Geekbench AI Score
7124
Single Precision Score
7099
Half Precision Score
18690
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | November 24 2025 05:24 PM |
| Views | 12 |
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% |
4419
821.8 IPS |
|
|
Image Classification (HP)
|
100% |
4416
821.2 IPS |
|
|
Image Classification (Q)
|
100% |
12774
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4021
65.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4731
76.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13532
219.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10104
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10061
11.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
41673
48.8 IPS |
|
|
Object Detection (SP)
|
100% |
4043
320.7 IPS |
|
|
Object Detection (HP)
|
100% |
3894
308.9 IPS |
|
|
Object Detection (Q)
|
88% |
10173
815.4 IPS |
|
|
Face Detection (SP)
|
100% |
10297
122.4 IPS |
|
|
Face Detection (HP)
|
100% |
9614
114.2 IPS |
|
|
Face Detection (Q)
|
100% |
27787
330.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11322
87.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9581
73.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
31976
248.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27241
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26252
33.7 IPS |
|
|
Style Transfer (Q)
|
98% |
68769
88.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5765
212.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5908
218.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16851
624.1 IPS |
|
|
Text Classification (SP)
|
100% |
4601
6.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3764
5.02 KIPS |
|
|
Text Classification (Q)
|
92% |
6889
9.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
5507
94.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7386
127.2 IPS |
|
|
Machine Translation (Q)
|
100% |
10006
172.3 IPS |
