HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
1053
Single Precision Score
343
Half Precision Score
1330
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 22 2024 12:18 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10210U |
| 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 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
658
122.3 IPS |
|
|
Image Classification (HP)
|
100% |
79
14.7 IPS |
|
|
Image Classification (Q)
|
97% |
1132
211.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
528
8.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
114
1.85 IPS |
|
|
Image Segmentation (Q)
|
97% |
956
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1567
1.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1293
1.51 IPS |
|
|
Pose Estimation (Q)
|
87% |
2857
3.38 IPS |
|
|
Object Detection (SP)
|
100% |
665
52.7 IPS |
|
|
Object Detection (HP)
|
100% |
98
7.74 IPS |
|
|
Object Detection (Q)
|
86% |
767
61.6 IPS |
|
|
Face Detection (SP)
|
100% |
846
10.0 IPS |
|
|
Face Detection (HP)
|
100% |
139
1.65 IPS |
|
|
Face Detection (Q)
|
96% |
1563
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1847
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
422
3.25 IPS |
|
|
Depth Estimation (Q)
|
76% |
2135
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4327
5.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3173
4.08 IPS |
|
|
Style Transfer (Q)
|
87% |
5358
6.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
891
32.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
727
26.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1386
51.4 IPS |
|
|
Text Classification (SP)
|
100% |
968
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
475
633.4 IPS |
|
|
Text Classification (Q)
|
97% |
372
497.9 IPS |
|
|
Machine Translation (SP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
313
5.39 IPS |
|
|
Machine Translation (Q)
|
60% |
798
17.8 IPS |
