HP HP Pavilion x360 Convertible 14-ba0xx
Geekbench ML Score
420
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | September 21 2024 07:07 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | HP HP Pavilion x360 Convertible 14-ba0xx |
| Motherboard | HP 8310 |
| Power Plan | HP Recommended |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.71 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 | 3.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 620 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
240
44.8 IPS |
|
|
Image Classification (F16)
|
100% |
238
44.5 IPS |
|
|
Image Classification (I8)
|
100% |
213
39.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
336
5.61 IPS |
|
|
Image Segmentation (F16)
|
100% |
336
5.61 IPS |
|
|
Image Segmentation (I8)
|
98% |
276
4.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
823
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
824
1.00 IPS |
|
|
Pose Estimation (I8)
|
100% |
772
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
268
20.0 IPS |
|
|
Object Detection (F16)
|
100% |
267
19.9 IPS |
|
|
Object Detection (I8)
|
54% |
239
17.8 IPS |
|
|
Face Detection (F32)
|
100% |
519
6.17 IPS |
|
|
Face Detection (F16)
|
100% |
520
6.19 IPS |
|
|
Face Detection (I8)
|
89% |
398
4.73 IPS |
|
|
Depth Estimation (F32)
|
100% |
848
6.57 IPS |
|
|
Depth Estimation (F16)
|
100% |
842
6.53 IPS |
|
|
Depth Estimation (I8)
|
95% |
750
5.82 IPS |
|
|
Style Transfer (F32)
|
100% |
1739
2.29 IPS |
|
|
Style Transfer (F16)
|
100% |
1740
2.29 IPS |
|
|
Style Transfer (I8)
|
98% |
1535
2.02 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
481
17.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
478
17.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
398
14.2 IPS |
|
|
Text Classification (F32)
|
100% |
182
261.4 IPS |
|
|
Text Classification (F16)
|
100% |
182
262.2 IPS |
|
|
Text Classification (I8)
|
98% |
139
200.5 IPS |
|
|
Machine Translation (F32)
|
100% |
268
4.93 IPS |
|
|
Machine Translation (F16)
|
100% |
268
4.93 IPS |
|
|
Machine Translation (I8)
|
70% |
184
3.38 IPS |
