RuggON SOL7
Geekbench ML Score
1865
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 27 2024 06:48 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise (64-bit) |
| Model | RuggON SOL7 |
| Motherboard | RuggON SOL7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 125U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 64.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 2.00 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1017
190.3 IPS |
|
|
Image Classification (F16)
|
100% |
980
183.3 IPS |
|
|
Image Classification (I8)
|
99% |
1853
346.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
825
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
729
12.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1581
26.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
2874
3.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
2759
3.34 IPS |
|
|
Pose Estimation (I8)
|
100% |
10643
12.9 IPS |
|
|
Object Detection (F32)
|
100% |
989
73.8 IPS |
|
|
Object Detection (F16)
|
100% |
994
74.2 IPS |
|
|
Object Detection (I8)
|
62% |
999
74.6 IPS |
|
|
Face Detection (F32)
|
100% |
1650
19.6 IPS |
|
|
Face Detection (F16)
|
100% |
1656
19.7 IPS |
|
|
Face Detection (I8)
|
89% |
2321
27.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3241
25.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
3150
24.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
7458
57.8 IPS |
|
|
Style Transfer (F32)
|
100% |
6872
9.04 IPS |
|
|
Style Transfer (F16)
|
100% |
6858
9.02 IPS |
|
|
Style Transfer (I8)
|
98% |
10317
13.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1467
52.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1489
53.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2717
97.1 IPS |
|
|
Text Classification (F32)
|
100% |
981
1.41 KIPS |
|
|
Text Classification (F16)
|
100% |
995
1.43 KIPS |
|
|
Text Classification (I8)
|
98% |
350
502.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1059
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1083
19.9 IPS |
|
|
Machine Translation (I8)
|
67% |
1661
30.6 IPS |
