Micro Computer (HK) Tech Limited AI Series
Geekbench AI Score
23599
Single Precision Score
32117
Half Precision Score
18891
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 22 2025 07:57 PM |
| Views | 3 |
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% |
11316
2.10 KIPS |
|
|
Image Classification (HP)
|
100% |
12251
2.28 KIPS |
|
|
Image Classification (Q)
|
100% |
10193
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18100
293.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14378
233.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15556
252.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
119339
139.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
293472
342.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
106814
125.1 IPS |
|
|
Object Detection (SP)
|
100% |
7087
562.2 IPS |
|
|
Object Detection (HP)
|
100% |
12367
980.9 IPS |
|
|
Object Detection (Q)
|
87% |
6881
552.7 IPS |
|
|
Face Detection (SP)
|
100% |
27922
331.8 IPS |
|
|
Face Detection (HP)
|
100% |
43010
511.1 IPS |
|
|
Face Detection (Q)
|
97% |
23246
277.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
51285
395.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
72047
555.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
44252
354.9 IPS |
|
|
Style Transfer (SP)
|
100% |
239268
307.6 IPS |
|
|
Style Transfer (HP)
|
100% |
432493
556.0 IPS |
|
|
Style Transfer (Q)
|
98% |
203817
262.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40802
1.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53788
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32275
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3871
5.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3922
5.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2618
3.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5715
98.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6462
111.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2804
52.6 IPS |
