HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
1671
Single Precision Score
1629
Half Precision Score
2892
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 22 2024 12:49 AM |
| Views | 5 |
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
208.1 IPS |
|
|
Image Classification (HP)
|
100% |
1150
213.9 IPS |
|
|
Image Classification (Q)
|
100% |
2010
373.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
888
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
904
14.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1843
30.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2333
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
1670
1.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
3913
4.59 IPS |
|
|
Object Detection (SP)
|
100% |
979
77.7 IPS |
|
|
Object Detection (HP)
|
100% |
1032
81.8 IPS |
|
|
Object Detection (Q)
|
87% |
1777
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
1738
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
1733
20.6 IPS |
|
|
Face Detection (Q)
|
97% |
4581
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2775
21.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
2652
20.4 IPS |
|
|
Depth Estimation (Q)
|
79% |
5295
42.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5762
7.41 IPS |
|
|
Style Transfer (HP)
|
100% |
5967
7.67 IPS |
|
|
Style Transfer (Q)
|
98% |
13245
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1353
49.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1329
49.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2781
103.0 IPS |
|
|
Text Classification (SP)
|
100% |
1301
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1342
1.79 KIPS |
|
|
Text Classification (Q)
|
91% |
1202
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1529
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1507
26.0 IPS |
|
|
Machine Translation (Q)
|
90% |
1482
25.7 IPS |
