Micro Computer (HK) Tech Limited MS-S1 MAX
Geekbench AI Score
24255
Single Precision Score
34212
Half Precision Score
20348
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | December 29 2025 06:36 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited MS-S1 MAX |
| Motherboard | Meigao Innovation Technology (Shen Zhen) 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% |
12456
2.32 KIPS |
|
|
Image Classification (HP)
|
100% |
13423
2.50 KIPS |
|
|
Image Classification (Q)
|
100% |
11285
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14132
229.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16972
275.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
18875
306.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
121954
142.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
284939
332.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
108180
126.7 IPS |
|
|
Object Detection (SP)
|
100% |
7335
581.8 IPS |
|
|
Object Detection (HP)
|
100% |
13120
1.04 KIPS |
|
|
Object Detection (Q)
|
87% |
7255
582.7 IPS |
|
|
Face Detection (SP)
|
100% |
30645
364.1 IPS |
|
|
Face Detection (HP)
|
100% |
46713
555.1 IPS |
|
|
Face Detection (Q)
|
97% |
24707
294.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
55770
429.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
74130
571.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
45709
366.6 IPS |
|
|
Style Transfer (SP)
|
100% |
226830
291.6 IPS |
|
|
Style Transfer (HP)
|
100% |
414822
533.3 IPS |
|
|
Style Transfer (Q)
|
98% |
195756
252.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40851
1.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55499
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33088
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
4111
5.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4183
5.58 KIPS |
|
|
Text Classification (Q)
|
97% |
2950
3.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
6877
118.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7736
133.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3373
63.3 IPS |
