Micro Computer (HK) Tech Limited AI Series
Geekbench ML Score
4177
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 26 2025 09:14 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 F8BSC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 255 w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2154
403.1 IPS |
|
|
Image Classification (F16)
|
100% |
2163
404.8 IPS |
|
|
Image Classification (I8)
|
99% |
5283
988.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1097
18.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1114
18.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3538
59.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
7662
9.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
7662
9.28 IPS |
|
|
Pose Estimation (I8)
|
100% |
25884
31.3 IPS |
|
|
Object Detection (F32)
|
100% |
2173
162.2 IPS |
|
|
Object Detection (F16)
|
100% |
2176
162.4 IPS |
|
|
Object Detection (I8)
|
62% |
2108
157.4 IPS |
|
|
Face Detection (F32)
|
100% |
3513
41.8 IPS |
|
|
Face Detection (F16)
|
100% |
3549
42.2 IPS |
|
|
Face Detection (I8)
|
89% |
5459
64.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
8490
65.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8247
64.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
17068
132.4 IPS |
|
|
Style Transfer (F32)
|
100% |
17315
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
17960
23.6 IPS |
|
|
Style Transfer (I8)
|
98% |
25588
33.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3106
110.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3213
114.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3820
136.4 IPS |
|
|
Text Classification (F32)
|
100% |
2043
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
2057
2.96 KIPS |
|
|
Text Classification (I8)
|
98% |
1504
2.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
2264
41.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2312
42.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3228
59.4 IPS |
