HP HP Notebook - 14s-cr2003tx
Geekbench ML Score
1061
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 18 2024 11:42 PM |
| Views | 4 |
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% |
400
74.9 IPS |
|
|
Image Classification (F16)
|
100% |
425
79.5 IPS |
|
|
Image Classification (I8)
|
97% |
573
107.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
309
5.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
309
5.16 IPS |
|
|
Image Segmentation (I8)
|
97% |
649
10.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
1544
1.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
1400
1.70 IPS |
|
|
Pose Estimation (I8)
|
100% |
3016
3.65 IPS |
|
|
Object Detection (F32)
|
100% |
652
48.7 IPS |
|
|
Object Detection (F16)
|
100% |
673
50.2 IPS |
|
|
Object Detection (I8)
|
60% |
660
49.3 IPS |
|
|
Face Detection (F32)
|
100% |
843
10.0 IPS |
|
|
Face Detection (F16)
|
100% |
834
9.92 IPS |
|
|
Face Detection (I8)
|
87% |
1580
18.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2013
15.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2036
15.8 IPS |
|
|
Depth Estimation (I8)
|
74% |
4057
31.5 IPS |
|
|
Style Transfer (F32)
|
100% |
5039
6.63 IPS |
|
|
Style Transfer (F16)
|
100% |
4110
5.41 IPS |
|
|
Style Transfer (I8)
|
85% |
4884
6.42 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1145
40.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1127
40.2 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1596
57.0 IPS |
|
|
Text Classification (F32)
|
100% |
866
1.25 KIPS |
|
|
Text Classification (F16)
|
100% |
914
1.31 KIPS |
|
|
Text Classification (I8)
|
94% |
344
495.1 IPS |
|
|
Machine Translation (F32)
|
100% |
654
12.0 IPS |
|
|
Machine Translation (F16)
|
100% |
743
13.7 IPS |
|
|
Machine Translation (I8)
|
67% |
1031
19.0 IPS |
