Micro Computer (HK) Tech Limited AI Series
Geekbench AI Score
3778
Single Precision Score
1717
Half Precision Score
7625
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 15 2025 04:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2959
550.3 IPS |
|
|
Image Classification (HP)
|
100% |
585
108.8 IPS |
|
|
Image Classification (Q)
|
99% |
7541
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1089
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3952
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6588
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
5410
6.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
25533
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
2768
219.5 IPS |
|
|
Object Detection (HP)
|
100% |
839
66.5 IPS |
|
|
Object Detection (Q)
|
86% |
7742
622.2 IPS |
|
|
Face Detection (SP)
|
100% |
6029
71.6 IPS |
|
|
Face Detection (HP)
|
100% |
1677
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
11061
131.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8128
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2902
22.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
16344
130.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14965
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13374
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
32429
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2349
86.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2161
79.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4282
158.6 IPS |
|
|
Text Classification (SP)
|
100% |
1560
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
744
992.4 IPS |
|
|
Text Classification (Q)
|
97% |
1694
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2541
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2654
53.3 IPS |
