YJKC Corporation vBOOK Plus
Geekbench ML Score
268
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | October 24 2024 07:29 PM |
| Views | 2 |
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 | DirectML |
| Device | Intel(R) HD Graphics 620 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
157
29.4 IPS |
|
|
Image Classification (F16)
|
100% |
144
26.9 IPS |
|
|
Image Classification (I8)
|
100% |
124
23.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
196
3.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
210
3.52 IPS |
|
|
Image Segmentation (I8)
|
98% |
182
3.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
461
0.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
457
0.55 IPS |
|
|
Pose Estimation (I8)
|
100% |
452
0.55 IPS |
|
|
Object Detection (F32)
|
100% |
166
12.4 IPS |
|
|
Object Detection (F16)
|
100% |
166
12.4 IPS |
|
|
Object Detection (I8)
|
54% |
154
11.5 IPS |
|
|
Face Detection (F32)
|
100% |
337
4.01 IPS |
|
|
Face Detection (F16)
|
100% |
336
3.99 IPS |
|
|
Face Detection (I8)
|
89% |
277
3.29 IPS |
|
|
Depth Estimation (F32)
|
100% |
500
3.87 IPS |
|
|
Depth Estimation (F16)
|
100% |
502
3.89 IPS |
|
|
Depth Estimation (I8)
|
95% |
471
3.65 IPS |
|
|
Style Transfer (F32)
|
100% |
1006
1.32 IPS |
|
|
Style Transfer (F16)
|
100% |
975
1.28 IPS |
|
|
Style Transfer (I8)
|
98% |
917
1.21 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
300
10.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
302
10.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
266
9.51 IPS |
|
|
Text Classification (F32)
|
100% |
142
204.3 IPS |
|
|
Text Classification (F16)
|
100% |
143
206.0 IPS |
|
|
Text Classification (I8)
|
98% |
107
153.6 IPS |
|
|
Machine Translation (F32)
|
100% |
195
3.58 IPS |
|
|
Machine Translation (F16)
|
100% |
192
3.54 IPS |
|
|
Machine Translation (I8)
|
70% |
137
2.51 IPS |
