Micro Computer (HK) Tech Limited MotherBoard Series
Geekbench ML Score
4493
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 14 2025 11:18 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited MotherBoard Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd DRFXI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 16 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1680
314.3 IPS |
|
|
Image Classification (F16)
|
100% |
1698
317.7 IPS |
|
|
Image Classification (I8)
|
99% |
4064
760.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2301
38.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2276
38.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2907
48.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
13658
16.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
13615
16.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
39820
48.2 IPS |
|
|
Object Detection (F32)
|
100% |
1921
143.4 IPS |
|
|
Object Detection (F16)
|
100% |
1926
143.8 IPS |
|
|
Object Detection (I8)
|
62% |
1913
142.8 IPS |
|
|
Face Detection (F32)
|
100% |
3882
46.2 IPS |
|
|
Face Detection (F16)
|
100% |
3883
46.2 IPS |
|
|
Face Detection (I8)
|
89% |
5884
70.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
9559
74.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
9074
70.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
21555
167.2 IPS |
|
|
Style Transfer (F32)
|
100% |
23961
31.5 IPS |
|
|
Style Transfer (F16)
|
100% |
27344
36.0 IPS |
|
|
Style Transfer (I8)
|
98% |
35747
47.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3574
127.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3500
125.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4093
146.2 IPS |
|
|
Text Classification (F32)
|
100% |
1357
1.95 KIPS |
|
|
Text Classification (F16)
|
100% |
1352
1.94 KIPS |
|
|
Text Classification (I8)
|
98% |
371
533.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2979
54.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2911
53.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3477
64.0 IPS |
