HP HP Notebook - 14s-cr2003tx
Geekbench ML Score
1225
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | October 23 2024 01:51 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | HP HP Notebook - 14s-cr2003tx |
| Motherboard | HP 8659 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10210U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
734
137.3 IPS |
|
|
Image Classification (F16)
|
100% |
726
135.8 IPS |
|
|
Image Classification (I8)
|
97% |
1134
212.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
472
7.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
465
7.77 IPS |
|
|
Image Segmentation (I8)
|
97% |
901
15.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
1967
2.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
1811
2.19 IPS |
|
|
Pose Estimation (I8)
|
100% |
4336
5.25 IPS |
|
|
Object Detection (F32)
|
100% |
662
49.5 IPS |
|
|
Object Detection (F16)
|
100% |
503
37.5 IPS |
|
|
Object Detection (I8)
|
60% |
716
53.4 IPS |
|
|
Face Detection (F32)
|
100% |
814
9.68 IPS |
|
|
Face Detection (F16)
|
100% |
837
9.95 IPS |
|
|
Face Detection (I8)
|
87% |
1557
18.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2238
17.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2242
17.4 IPS |
|
|
Depth Estimation (I8)
|
74% |
4136
32.1 IPS |
|
|
Style Transfer (F32)
|
100% |
4492
5.91 IPS |
|
|
Style Transfer (F16)
|
100% |
5056
6.65 IPS |
|
|
Style Transfer (I8)
|
85% |
5467
7.19 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1146
40.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1135
40.5 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1611
57.5 IPS |
|
|
Text Classification (F32)
|
100% |
899
1.29 KIPS |
|
|
Text Classification (F16)
|
100% |
916
1.32 KIPS |
|
|
Text Classification (I8)
|
94% |
342
491.9 IPS |
|
|
Machine Translation (F32)
|
100% |
776
14.3 IPS |
|
|
Machine Translation (F16)
|
100% |
820
15.1 IPS |
|
|
Machine Translation (I8)
|
67% |
982
18.1 IPS |
