Micro Computer (HK) Tech Limited MS-S1 MAX
Geekbench AI Score
13443
Single Precision Score
13518
Half Precision Score
33592
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 20 2025 11:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| 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 | 5.18 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.97 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7218
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
7254
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
18451
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8956
145.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8809
142.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25599
415.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
25729
30.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
26022
30.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
104466
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
8184
649.1 IPS |
|
|
Object Detection (HP)
|
100% |
8123
644.3 IPS |
|
|
Object Detection (Q)
|
88% |
20079
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
19207
228.2 IPS |
|
|
Face Detection (HP)
|
100% |
18860
224.1 IPS |
|
|
Face Detection (Q)
|
100% |
56740
674.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22893
176.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23047
177.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
63199
491.8 IPS |
|
|
Style Transfer (SP)
|
100% |
58423
75.1 IPS |
|
|
Style Transfer (HP)
|
100% |
61749
79.4 IPS |
|
|
Style Transfer (Q)
|
98% |
238424
307.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12754
470.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12920
477.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34548
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
4970
6.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4927
6.58 KIPS |
|
|
Text Classification (Q)
|
92% |
6100
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
8698
149.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8833
152.2 IPS |
|
|
Machine Translation (Q)
|
100% |
10252
176.6 IPS |
