Micro Computer (HK) Tech Limited AI Series
Geekbench ML Score
4962
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 26 2025 09:15 AM |
| Views | 9 |
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 | DirectML |
| Device | AMD Radeon 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2545
476.2 IPS |
|
|
Image Classification (F16)
|
100% |
2447
457.9 IPS |
|
|
Image Classification (I8)
|
100% |
2067
386.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2689
44.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2714
45.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2318
38.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
35868
43.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
35396
42.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
27638
33.5 IPS |
|
|
Object Detection (F32)
|
100% |
1703
127.1 IPS |
|
|
Object Detection (F16)
|
100% |
1631
121.8 IPS |
|
|
Object Detection (I8)
|
62% |
1637
122.2 IPS |
|
|
Face Detection (F32)
|
100% |
5085
60.5 IPS |
|
|
Face Detection (F16)
|
100% |
5089
60.5 IPS |
|
|
Face Detection (I8)
|
89% |
3900
46.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
14146
109.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
15275
118.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
11331
87.9 IPS |
|
|
Style Transfer (F32)
|
100% |
29387
38.7 IPS |
|
|
Style Transfer (F16)
|
100% |
29532
38.8 IPS |
|
|
Style Transfer (I8)
|
98% |
25384
33.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6141
219.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6032
215.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4511
161.1 IPS |
|
|
Text Classification (F32)
|
100% |
1456
2.09 KIPS |
|
|
Text Classification (F16)
|
100% |
1531
2.20 KIPS |
|
|
Text Classification (I8)
|
98% |
1244
1.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
2381
43.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2312
42.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1537
28.3 IPS |
