HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
1574
Single Precision Score
1455
Half Precision Score
2562
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 19 2024 01:03 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% |
1142
212.4 IPS |
|
|
Image Classification (HP)
|
100% |
639
118.8 IPS |
|
|
Image Classification (Q)
|
100% |
1081
201.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1382
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2315
2.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
1673
1.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
3644
4.27 IPS |
|
|
Object Detection (SP)
|
100% |
1020
80.9 IPS |
|
|
Object Detection (HP)
|
100% |
986
78.2 IPS |
|
|
Object Detection (Q)
|
87% |
1590
127.5 IPS |
|
|
Face Detection (SP)
|
100% |
1676
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
1736
20.6 IPS |
|
|
Face Detection (Q)
|
97% |
4723
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2701
20.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
2624
20.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
4829
38.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4849
6.23 IPS |
|
|
Style Transfer (HP)
|
100% |
5862
7.54 IPS |
|
|
Style Transfer (Q)
|
98% |
13426
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1244
45.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1178
43.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2768
102.5 IPS |
|
|
Text Classification (SP)
|
100% |
1312
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1364
1.82 KIPS |
|
|
Text Classification (Q)
|
91% |
1174
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1510
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1434
24.7 IPS |
|
|
Machine Translation (Q)
|
90% |
1415
24.6 IPS |
