HP 510-p026
Geekbench ML Score
377
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 09:45 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | HP 510-p026 |
| Motherboard | HP 81B4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6400T |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 4 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 | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 530 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
212
39.7 IPS |
|
|
Image Classification (F16)
|
100% |
210
39.3 IPS |
|
|
Image Classification (I8)
|
100% |
191
35.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
312
5.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
312
5.22 IPS |
|
|
Image Segmentation (I8)
|
98% |
264
4.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
749
0.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
750
0.91 IPS |
|
|
Pose Estimation (I8)
|
100% |
705
0.85 IPS |
|
|
Object Detection (F32)
|
100% |
220
16.4 IPS |
|
|
Object Detection (F16)
|
100% |
218
16.3 IPS |
|
|
Object Detection (I8)
|
54% |
201
15.0 IPS |
|
|
Face Detection (F32)
|
100% |
478
5.68 IPS |
|
|
Face Detection (F16)
|
100% |
482
5.73 IPS |
|
|
Face Detection (I8)
|
89% |
388
4.61 IPS |
|
|
Depth Estimation (F32)
|
100% |
754
5.85 IPS |
|
|
Depth Estimation (F16)
|
100% |
759
5.89 IPS |
|
|
Depth Estimation (I8)
|
95% |
646
5.01 IPS |
|
|
Style Transfer (F32)
|
100% |
1554
2.04 IPS |
|
|
Style Transfer (F16)
|
100% |
1584
2.08 IPS |
|
|
Style Transfer (I8)
|
98% |
1452
1.91 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
430
15.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
430
15.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
366
13.1 IPS |
|
|
Text Classification (F32)
|
100% |
138
198.3 IPS |
|
|
Text Classification (F16)
|
100% |
151
217.6 IPS |
|
|
Text Classification (I8)
|
98% |
118
170.1 IPS |
|
|
Machine Translation (F32)
|
100% |
263
4.83 IPS |
|
|
Machine Translation (F16)
|
100% |
263
4.85 IPS |
|
|
Machine Translation (I8)
|
70% |
180
3.31 IPS |
