HP 510-p026
Geekbench ML Score
1053
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 09:39 PM |
| Views | 2 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
568
106.3 IPS |
|
|
Image Classification (F16)
|
100% |
594
111.2 IPS |
|
|
Image Classification (I8)
|
97% |
855
159.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
507
8.47 IPS |
|
|
Image Segmentation (F16)
|
100% |
487
8.13 IPS |
|
|
Image Segmentation (I8)
|
97% |
697
11.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
1625
1.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
1813
2.20 IPS |
|
|
Pose Estimation (I8)
|
100% |
2985
3.62 IPS |
|
|
Object Detection (F32)
|
100% |
572
42.7 IPS |
|
|
Object Detection (F16)
|
100% |
500
37.4 IPS |
|
|
Object Detection (I8)
|
60% |
581
43.4 IPS |
|
|
Face Detection (F32)
|
100% |
956
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
929
11.0 IPS |
|
|
Face Detection (I8)
|
87% |
1478
17.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2032
15.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2002
15.5 IPS |
|
|
Depth Estimation (I8)
|
74% |
2813
21.8 IPS |
|
|
Style Transfer (F32)
|
100% |
4129
5.43 IPS |
|
|
Style Transfer (F16)
|
100% |
3963
5.21 IPS |
|
|
Style Transfer (I8)
|
85% |
5379
7.08 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
938
33.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
914
32.7 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1222
43.6 IPS |
|
|
Text Classification (F32)
|
100% |
601
863.4 IPS |
|
|
Text Classification (F16)
|
100% |
575
826.5 IPS |
|
|
Text Classification (I8)
|
94% |
213
305.9 IPS |
|
|
Machine Translation (F32)
|
100% |
870
16.0 IPS |
|
|
Machine Translation (F16)
|
100% |
821
15.1 IPS |
|
|
Machine Translation (I8)
|
67% |
906
16.7 IPS |
