HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
1121
Single Precision Score
566
Half Precision Score
1556
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | June 12 2025 10:02 AM |
| Views | 4 |
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% |
993
184.7 IPS |
|
|
Image Classification (HP)
|
100% |
253
47.1 IPS |
|
|
Image Classification (Q)
|
96% |
1670
311.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
531
8.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
329
5.33 IPS |
|
|
Image Segmentation (Q)
|
97% |
832
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1383
1.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1093
1.28 IPS |
|
|
Pose Estimation (Q)
|
86% |
2727
3.22 IPS |
|
|
Object Detection (SP)
|
100% |
751
59.6 IPS |
|
|
Object Detection (HP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (Q)
|
58% |
1000
109.3 IPS |
|
|
Face Detection (SP)
|
100% |
1367
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
572
6.79 IPS |
|
|
Face Detection (Q)
|
96% |
2814
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2037
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
747
5.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
3681
29.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4032
5.18 IPS |
|
|
Style Transfer (HP)
|
100% |
2985
3.84 IPS |
|
|
Style Transfer (Q)
|
87% |
5150
6.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
753
27.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
668
24.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1086
40.2 IPS |
|
|
Text Classification (SP)
|
100% |
823
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
516
688.5 IPS |
|
|
Text Classification (Q)
|
97% |
366
490.9 IPS |
|
|
Machine Translation (SP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (Q)
|
68% |
1040
20.1 IPS |
