Micro Computer (HK) Tech Limited AI Series
Geekbench ML Score
18228
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 22 2025 11:45 AM |
| Views | 7 |
System Information
| 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 |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
9665
1.81 KIPS |
|
|
Image Classification (F16)
|
100% |
9714
1.82 KIPS |
|
|
Image Classification (I8)
|
100% |
8797
1.65 KIPS |
|
|
Image Segmentation (F32)
|
100% |
16219
270.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
16913
282.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
12839
214.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
129840
157.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
130711
158.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
108674
131.6 IPS |
|
|
Object Detection (F32)
|
100% |
3412
254.7 IPS |
|
|
Object Detection (F16)
|
100% |
2840
212.0 IPS |
|
|
Object Detection (I8)
|
62% |
3926
293.1 IPS |
|
|
Face Detection (F32)
|
100% |
20461
243.3 IPS |
|
|
Face Detection (F16)
|
100% |
24634
292.9 IPS |
|
|
Face Detection (I8)
|
89% |
18505
220.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
45966
356.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
46617
361.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
33542
260.1 IPS |
|
|
Style Transfer (F32)
|
100% |
222583
292.8 IPS |
|
|
Style Transfer (F16)
|
100% |
211201
277.8 IPS |
|
|
Style Transfer (I8)
|
98% |
169944
223.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
29344
1.05 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
28961
1.03 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
22992
821.1 IPS |
|
|
Text Classification (F32)
|
100% |
3489
5.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3522
5.06 KIPS |
|
|
Text Classification (I8)
|
98% |
2518
3.62 KIPS |
|
|
Machine Translation (F32)
|
100% |
5749
105.8 IPS |
|
|
Machine Translation (F16)
|
100% |
5645
103.9 IPS |
|
|
Machine Translation (I8)
|
70% |
3099
57.0 IPS |
