Micro Computer (HK) Tech Limited AI Series
Geekbench AI Score
25008
Single Precision Score
34204
Half Precision Score
19616
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 22 2025 08:04 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| 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 SHWSA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12499
2.32 KIPS |
|
|
Image Classification (HP)
|
100% |
12926
2.40 KIPS |
|
|
Image Classification (Q)
|
100% |
10768
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21376
346.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16661
270.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
18025
293.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
122951
143.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
300324
350.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
105485
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
7348
582.8 IPS |
|
|
Object Detection (HP)
|
100% |
12980
1.03 KIPS |
|
|
Object Detection (Q)
|
87% |
7074
568.1 IPS |
|
|
Face Detection (SP)
|
100% |
29010
344.7 IPS |
|
|
Face Detection (HP)
|
100% |
46817
556.3 IPS |
|
|
Face Detection (Q)
|
97% |
22103
263.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
54757
421.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
73307
564.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
45879
367.9 IPS |
|
|
Style Transfer (SP)
|
100% |
226258
290.9 IPS |
|
|
Style Transfer (HP)
|
100% |
439667
565.2 IPS |
|
|
Style Transfer (Q)
|
98% |
205324
264.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41672
1.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55743
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32154
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3816
5.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4006
5.35 KIPS |
|
|
Text Classification (Q)
|
97% |
2694
3.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
6936
119.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7748
133.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3230
60.6 IPS |
