Micro Computer (HK) Tech Limited MS-S1 MAX
Geekbench AI Score
23775
Single Precision Score
29382
Half Precision Score
18863
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | niksher |
| Upload Date | January 03 2026 04:59 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| 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 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11655
2.17 KIPS |
|
|
Image Classification (HP)
|
100% |
12739
2.37 KIPS |
|
|
Image Classification (Q)
|
100% |
10388
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20281
328.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16270
263.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17184
279.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
119330
139.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
177975
207.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
103689
121.5 IPS |
|
|
Object Detection (SP)
|
100% |
7182
569.7 IPS |
|
|
Object Detection (HP)
|
100% |
12190
966.9 IPS |
|
|
Object Detection (Q)
|
87% |
6947
558.0 IPS |
|
|
Face Detection (SP)
|
100% |
30354
360.7 IPS |
|
|
Face Detection (HP)
|
100% |
43033
511.3 IPS |
|
|
Face Detection (Q)
|
97% |
24763
295.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
50566
389.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
63673
490.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
43171
346.2 IPS |
|
|
Style Transfer (SP)
|
100% |
212276
272.9 IPS |
|
|
Style Transfer (HP)
|
100% |
310886
399.6 IPS |
|
|
Style Transfer (Q)
|
98% |
177183
228.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35756
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42728
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28567
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3628
4.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3823
5.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2547
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
6741
116.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7664
132.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3219
60.4 IPS |
