HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
1185
Single Precision Score
1190
Half Precision Score
2094
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | September 10 2024 02:25 AM |
| Views | 3 |
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% |
1088
202.3 IPS |
|
|
Image Classification (HP)
|
100% |
736
136.8 IPS |
|
|
Image Classification (Q)
|
100% |
1202
223.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
699
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
683
11.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1349
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1559
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1557
1.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
3351
3.93 IPS |
|
|
Object Detection (SP)
|
100% |
732
58.1 IPS |
|
|
Object Detection (HP)
|
100% |
932
74.0 IPS |
|
|
Object Detection (Q)
|
87% |
1853
148.6 IPS |
|
|
Face Detection (SP)
|
100% |
1563
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
1674
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
4291
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2313
17.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
2394
18.4 IPS |
|
|
Depth Estimation (Q)
|
79% |
4551
36.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5128
6.59 IPS |
|
|
Style Transfer (HP)
|
100% |
5013
6.44 IPS |
|
|
Style Transfer (Q)
|
98% |
11245
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
576
21.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
650
24.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1288
47.7 IPS |
|
|
Text Classification (SP)
|
100% |
672
897.1 IPS |
|
|
Text Classification (HP)
|
100% |
667
890.4 IPS |
|
|
Text Classification (Q)
|
91% |
621
835.0 IPS |
|
|
Machine Translation (SP)
|
100% |
881
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (Q)
|
90% |
918
16.0 IPS |
