Micro Computer (HK) Tech Limited AI Series
Geekbench AI Score
5411
Single Precision Score
5365
Half Precision Score
13970
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | slatl78 |
| Upload Date | January 30 2026 11:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 |
| Power Plan | Balanced |
| 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% |
3098
576.1 IPS |
|
|
Image Classification (HP)
|
100% |
3204
595.8 IPS |
|
|
Image Classification (Q)
|
100% |
8833
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4134
67.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4117
66.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11013
178.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7777
9.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
7399
8.63 IPS |
|
|
Pose Estimation (Q)
|
98% |
31987
37.4 IPS |
|
|
Object Detection (SP)
|
100% |
3029
240.3 IPS |
|
|
Object Detection (HP)
|
100% |
3075
243.9 IPS |
|
|
Object Detection (Q)
|
88% |
8051
645.4 IPS |
|
|
Face Detection (SP)
|
100% |
8222
97.7 IPS |
|
|
Face Detection (HP)
|
100% |
8307
98.7 IPS |
|
|
Face Detection (Q)
|
100% |
25856
307.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8855
68.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8715
67.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
22530
175.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22463
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20458
26.3 IPS |
|
|
Style Transfer (Q)
|
98% |
83213
107.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4292
158.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4287
158.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13618
504.3 IPS |
|
|
Text Classification (SP)
|
100% |
2566
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2586
3.45 KIPS |
|
|
Text Classification (Q)
|
92% |
3597
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3964
68.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4015
69.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4762
82.0 IPS |
