Micro Computer (HK) Tech Limited AI Series
Geekbench AI Score
3512
Single Precision Score
1687
Half Precision Score
7482
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Twicko |
| Upload Date | January 03 2026 04:17 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited AI Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F8BAC |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2963
551.0 IPS |
|
|
Image Classification (HP)
|
100% |
622
115.7 IPS |
|
|
Image Classification (Q)
|
99% |
6960
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1048
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
932
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10023
163.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6608
7.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
5508
6.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
25903
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
2897
229.8 IPS |
|
|
Object Detection (HP)
|
100% |
746
59.2 IPS |
|
|
Object Detection (Q)
|
86% |
7232
581.2 IPS |
|
|
Face Detection (SP)
|
100% |
6138
72.9 IPS |
|
|
Face Detection (HP)
|
100% |
1712
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
10461
124.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7947
61.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2436
18.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
15677
125.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15516
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14007
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
30138
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2194
81.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2164
79.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2353
87.1 IPS |
|
|
Text Classification (SP)
|
100% |
1528
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
732
977.4 IPS |
|
|
Text Classification (Q)
|
97% |
1343
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1893
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2696
54.2 IPS |
