Micro Computer (HK) Tech Limited AI Series
Geekbench AI Score
2589
Single Precision Score
1153
Half Precision Score
5232
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 04:33 PM |
| Views | 2 |
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% |
2132
396.4 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.3 IPS |
|
|
Image Classification (Q)
|
99% |
5471
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1078
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
597
9.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
2243
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4421
5.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
3860
4.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
16333
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2008
159.2 IPS |
|
|
Object Detection (HP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (Q)
|
86% |
4954
398.2 IPS |
|
|
Face Detection (SP)
|
100% |
4410
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
1192
14.2 IPS |
|
|
Face Detection (Q)
|
97% |
7667
91.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5839
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1738
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
12270
97.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10777
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10547
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
24703
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1602
59.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1625
60.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2663
98.6 IPS |
|
|
Text Classification (SP)
|
100% |
872
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
452
603.1 IPS |
|
|
Text Classification (Q)
|
97% |
1013
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1713
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
544
9.36 IPS |
|
|
Machine Translation (Q)
|
65% |
2473
49.7 IPS |
