HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
1537
Single Precision Score
1551
Half Precision Score
2860
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 29 2024 04:23 AM |
| Views | 2 |
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% |
1076
200.0 IPS |
|
|
Image Classification (HP)
|
100% |
1069
198.8 IPS |
|
|
Image Classification (Q)
|
100% |
1990
370.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
905
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
898
14.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1850
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1891
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1682
1.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
3781
4.44 IPS |
|
|
Object Detection (SP)
|
100% |
998
79.2 IPS |
|
|
Object Detection (HP)
|
100% |
974
77.3 IPS |
|
|
Object Detection (Q)
|
87% |
2011
161.3 IPS |
|
|
Face Detection (SP)
|
100% |
1147
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1494
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
4610
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2571
19.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
2456
18.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
4780
37.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5660
7.28 IPS |
|
|
Style Transfer (HP)
|
100% |
5735
7.37 IPS |
|
|
Style Transfer (Q)
|
98% |
12917
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1306
48.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1298
47.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2705
100.2 IPS |
|
|
Text Classification (SP)
|
100% |
1301
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1348
1.80 KIPS |
|
|
Text Classification (Q)
|
91% |
1166
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1420
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1397
24.1 IPS |
|
|
Machine Translation (Q)
|
90% |
1459
25.4 IPS |
