Micro Computer (HK) Tech Limited MotherBoard Series
Geekbench ML Score
2199
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| User | vm666 |
| Upload Date | September 26 2025 03:49 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | Micro Computer (HK) Tech Limited MotherBoard Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd DRFXL |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.46 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 93.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1564
292.7 IPS |
|
|
Image Classification (F16)
|
100% |
1574
294.4 IPS |
|
|
Image Classification (I8)
|
99% |
1427
267.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2771
46.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2830
47.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1251
20.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
3024
3.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
2982
3.61 IPS |
|
|
Pose Estimation (I8)
|
100% |
5587
6.77 IPS |
|
|
Object Detection (F32)
|
100% |
1617
120.7 IPS |
|
|
Object Detection (F16)
|
100% |
1608
120.0 IPS |
|
|
Object Detection (I8)
|
65% |
1548
115.5 IPS |
|
|
Face Detection (F32)
|
100% |
2625
31.2 IPS |
|
|
Face Detection (F16)
|
100% |
2662
31.7 IPS |
|
|
Face Detection (I8)
|
87% |
2980
35.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2632
20.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2627
20.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
2991
23.2 IPS |
|
|
Style Transfer (F32)
|
100% |
3152
4.15 IPS |
|
|
Style Transfer (F16)
|
100% |
3273
4.30 IPS |
|
|
Style Transfer (I8)
|
98% |
7932
10.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1661
59.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1662
59.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2021
72.2 IPS |
|
|
Text Classification (F32)
|
100% |
1358
1.95 KIPS |
|
|
Text Classification (F16)
|
100% |
1341
1.93 KIPS |
|
|
Text Classification (I8)
|
92% |
667
958.3 IPS |
|
|
Machine Translation (F32)
|
100% |
3303
60.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2988
55.0 IPS |
|
|
Machine Translation (I8)
|
62% |
1123
20.7 IPS |
