Micro Computer (HK) Tech Limited AI Series
Geekbench AI Score
2408
Single Precision Score
2408
Half Precision Score
1903
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 15 2025 12:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | Micro Computer (HK) Tech Limited AI Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F8BAC |
| 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 | 5.16 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 28.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1583
294.5 IPS |
|
|
Image Classification (HP)
|
100% |
1590
295.7 IPS |
|
|
Image Classification (Q)
|
99% |
1337
249.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2531
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2469
40.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1266
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3208
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3249
3.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
3997
4.68 IPS |
|
|
Object Detection (SP)
|
100% |
1650
130.8 IPS |
|
|
Object Detection (HP)
|
100% |
1631
129.4 IPS |
|
|
Object Detection (Q)
|
85% |
1426
114.8 IPS |
|
|
Face Detection (SP)
|
100% |
3207
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
3183
37.8 IPS |
|
|
Face Detection (Q)
|
97% |
2975
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2822
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2910
22.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2470
23.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4120
5.30 IPS |
|
|
Style Transfer (HP)
|
100% |
4114
5.29 IPS |
|
|
Style Transfer (Q)
|
98% |
7343
9.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1764
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1799
66.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2017
74.7 IPS |
|
|
Text Classification (SP)
|
100% |
1542
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1510
2.02 KIPS |
|
|
Text Classification (Q)
|
92% |
814
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3049
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3046
52.5 IPS |
|
|
Machine Translation (Q)
|
58% |
730
17.1 IPS |
