YJKC Corporation vBOOK Plus
Geekbench ML Score
437
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | October 24 2024 07:20 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | YJKC Corporation vBOOK Plus |
| Motherboard | YJKC Corporation. vBOOK Plus |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7500U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 2 Cores |
| L1 Instruction Cache | 32.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 256 KB x 2 |
| L3 Cache | 4.00 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% |
231
43.2 IPS |
|
|
Image Classification (F16)
|
100% |
227
42.4 IPS |
|
|
Image Classification (I8)
|
97% |
340
63.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
199
3.32 IPS |
|
|
Image Segmentation (F16)
|
100% |
206
3.43 IPS |
|
|
Image Segmentation (I8)
|
97% |
273
4.56 IPS |
|
|
Pose Estimation (F32)
|
100% |
545
0.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
551
0.67 IPS |
|
|
Pose Estimation (I8)
|
100% |
958
1.16 IPS |
|
|
Object Detection (F32)
|
100% |
242
18.0 IPS |
|
|
Object Detection (F16)
|
100% |
244
18.2 IPS |
|
|
Object Detection (I8)
|
60% |
266
19.8 IPS |
|
|
Face Detection (F32)
|
100% |
591
7.03 IPS |
|
|
Face Detection (F16)
|
100% |
591
7.02 IPS |
|
|
Face Detection (I8)
|
87% |
737
8.76 IPS |
|
|
Depth Estimation (F32)
|
100% |
665
5.16 IPS |
|
|
Depth Estimation (F16)
|
100% |
679
5.26 IPS |
|
|
Depth Estimation (I8)
|
74% |
1022
7.93 IPS |
|
|
Style Transfer (F32)
|
100% |
1403
1.85 IPS |
|
|
Style Transfer (F16)
|
100% |
1426
1.88 IPS |
|
|
Style Transfer (I8)
|
85% |
2003
2.63 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
328
11.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
330
11.8 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
482
17.2 IPS |
|
|
Text Classification (F32)
|
100% |
237
341.1 IPS |
|
|
Text Classification (F16)
|
100% |
237
340.4 IPS |
|
|
Text Classification (I8)
|
94% |
149
214.8 IPS |
|
|
Machine Translation (F32)
|
100% |
434
7.98 IPS |
|
|
Machine Translation (F16)
|
100% |
433
7.97 IPS |
|
|
Machine Translation (I8)
|
67% |
480
8.84 IPS |
