HP HP Pavilion Plus Laptop 14-ew1xxx
Geekbench AI Score
2595
Single Precision Score
2509
Half Precision Score
5873
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 03 2024 09:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Pavilion Plus Laptop 14-ew1xxx |
| Motherboard | HP 8C31 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1482
275.6 IPS |
|
|
Image Classification (HP)
|
100% |
1446
268.9 IPS |
|
|
Image Classification (Q)
|
100% |
3793
705.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2254
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2010
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4112
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4036
4.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3366
3.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
12591
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1321
104.8 IPS |
|
|
Object Detection (HP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (Q)
|
88% |
3202
256.7 IPS |
|
|
Face Detection (SP)
|
100% |
4007
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
3884
46.1 IPS |
|
|
Face Detection (Q)
|
100% |
7842
93.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4013
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3564
27.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
9188
71.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9716
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10473
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
33240
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1713
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2002
73.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6271
232.2 IPS |
|
|
Text Classification (SP)
|
100% |
1360
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1371
1.83 KIPS |
|
|
Text Classification (Q)
|
92% |
2623
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2138
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1876
32.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1972
34.0 IPS |
