Micro Computer (HK) Tech Limited MS-S1 MAX
Geekbench AI Score
6442
Single Precision Score
2413
Half Precision Score
11176
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 28 2025 05:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| 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% |
5440
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
768
142.8 IPS |
|
|
Image Classification (Q)
|
99% |
12443
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1065
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15844
257.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15144
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11546
13.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
49939
58.6 IPS |
|
|
Object Detection (SP)
|
100% |
5138
407.5 IPS |
|
|
Object Detection (HP)
|
100% |
953
75.6 IPS |
|
|
Object Detection (Q)
|
86% |
11702
940.4 IPS |
|
|
Face Detection (SP)
|
100% |
12366
146.9 IPS |
|
|
Face Detection (HP)
|
100% |
2282
27.1 IPS |
|
|
Face Detection (Q)
|
97% |
13556
161.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16507
127.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3019
23.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
12256
97.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31761
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27046
34.8 IPS |
|
|
Style Transfer (Q)
|
98% |
50492
65.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4628
170.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3560
131.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4433
164.2 IPS |
|
|
Text Classification (SP)
|
100% |
2132
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
950
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1664
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3501
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4267
85.7 IPS |
