HP HP Notebook - 14s-cr2003tx
Geekbench AI Score
1587
Single Precision Score
1500
Half Precision Score
2660
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 16 2024 01:22 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% |
1127
209.6 IPS |
|
|
Image Classification (HP)
|
100% |
736
136.8 IPS |
|
|
Image Classification (Q)
|
100% |
1246
231.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
696
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
698
11.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1340
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2331
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
1650
1.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
3580
4.20 IPS |
|
|
Object Detection (SP)
|
100% |
861
68.3 IPS |
|
|
Object Detection (HP)
|
100% |
955
75.7 IPS |
|
|
Object Detection (Q)
|
87% |
1893
151.8 IPS |
|
|
Face Detection (SP)
|
100% |
1668
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
1707
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
4821
57.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2782
21.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
2763
21.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
5160
40.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5456
7.01 IPS |
|
|
Style Transfer (HP)
|
100% |
5696
7.32 IPS |
|
|
Style Transfer (Q)
|
98% |
13266
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1281
47.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1333
49.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2765
102.4 IPS |
|
|
Text Classification (SP)
|
100% |
1302
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1342
1.79 KIPS |
|
|
Text Classification (Q)
|
91% |
1198
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1525
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1491
25.7 IPS |
|
|
Machine Translation (Q)
|
90% |
1435
24.9 IPS |
