HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
1635
Single Precision Score
1591
Half Precision Score
2744
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | June 12 2025 09:49 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-10210U CPU @ 1.60GHz |
| 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% |
1119
208.2 IPS |
|
|
Image Classification (HP)
|
100% |
1107
205.8 IPS |
|
|
Image Classification (Q)
|
100% |
2046
380.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
963
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
676
11.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1196
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1790
2.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1651
1.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
3506
4.11 IPS |
|
|
Object Detection (SP)
|
100% |
951
75.5 IPS |
|
|
Object Detection (HP)
|
100% |
977
77.5 IPS |
|
|
Object Detection (Q)
|
87% |
1984
159.1 IPS |
|
|
Face Detection (SP)
|
100% |
1773
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
1704
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
4952
59.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2543
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2562
19.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
4802
37.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5376
6.91 IPS |
|
|
Style Transfer (HP)
|
100% |
5753
7.40 IPS |
|
|
Style Transfer (Q)
|
98% |
12443
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1299
48.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1249
46.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2773
102.7 IPS |
|
|
Text Classification (SP)
|
100% |
1551
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1571
2.10 KIPS |
|
|
Text Classification (Q)
|
91% |
990
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1527
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1748
30.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1753
30.2 IPS |
