ONDA B660-VH
Geekbench ML Score
1842
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 06:06 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ONDA B660-VH |
| Motherboard | ONDA B660-VH |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| 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% |
948
177.3 IPS |
|
|
Image Classification (F16)
|
100% |
874
163.5 IPS |
|
|
Image Classification (I8)
|
99% |
2072
387.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
883
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
872
14.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1889
31.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
1963
2.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
1886
2.28 IPS |
|
|
Pose Estimation (I8)
|
100% |
8378
10.1 IPS |
|
|
Object Detection (F32)
|
100% |
843
62.9 IPS |
|
|
Object Detection (F16)
|
100% |
875
65.3 IPS |
|
|
Object Detection (I8)
|
62% |
1113
83.1 IPS |
|
|
Face Detection (F32)
|
100% |
1708
20.3 IPS |
|
|
Face Detection (F16)
|
100% |
1739
20.7 IPS |
|
|
Face Detection (I8)
|
89% |
2722
32.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2481
19.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2551
19.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
7042
54.6 IPS |
|
|
Style Transfer (F32)
|
100% |
5018
6.60 IPS |
|
|
Style Transfer (F16)
|
100% |
4941
6.50 IPS |
|
|
Style Transfer (I8)
|
98% |
10462
13.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1107
39.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1254
44.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2844
101.6 IPS |
|
|
Text Classification (F32)
|
100% |
1162
1.67 KIPS |
|
|
Text Classification (F16)
|
100% |
955
1.37 KIPS |
|
|
Text Classification (I8)
|
98% |
1138
1.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
1203
22.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1193
21.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2140
39.4 IPS |
