Micro Computer (HK) Tech Limited MS-S1 MAX
Geekbench AI Score
6324
Single Precision Score
2375
Half Precision Score
11341
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | michaldepta |
| Upload Date | January 06 2026 09:41 AM |
| Views | 7 |
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 | Meigao Innovation Technology (Shen Zhen) Co., Ltd SHWSA |
| Power Plan | Zrwnowaony |
| 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% |
5410
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
749
139.3 IPS |
|
|
Image Classification (Q)
|
99% |
12088
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1495
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1113
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
16204
263.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15162
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11395
13.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
50095
58.7 IPS |
|
|
Object Detection (SP)
|
100% |
4999
396.6 IPS |
|
|
Object Detection (HP)
|
100% |
948
75.2 IPS |
|
|
Object Detection (Q)
|
86% |
12955
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
12135
144.2 IPS |
|
|
Face Detection (HP)
|
100% |
2124
25.2 IPS |
|
|
Face Detection (Q)
|
97% |
13620
162.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16460
126.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3108
23.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
11902
95.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31049
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26549
34.1 IPS |
|
|
Style Transfer (Q)
|
98% |
51064
65.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3843
141.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3555
131.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5006
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
2400
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
940
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1526
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2920
50.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1084
18.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4380
88.0 IPS |
