HP HP Pavilion Plus Laptop 14-ew1xxx
Geekbench AI Score
7728
Single Precision Score
11165
Half Precision Score
16743
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 03 2024 10:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
5423
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
6809
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
8668
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4828
78.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10678
173.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
14697
238.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
21886
25.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
18468
21.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
61854
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
4514
358.0 IPS |
|
|
Object Detection (HP)
|
100% |
7138
566.2 IPS |
|
|
Object Detection (Q)
|
88% |
10418
834.8 IPS |
|
|
Face Detection (SP)
|
100% |
9645
114.6 IPS |
|
|
Face Detection (HP)
|
100% |
18385
218.4 IPS |
|
|
Face Detection (Q)
|
100% |
27981
332.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19033
146.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
30953
239.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
36179
281.2 IPS |
|
|
Style Transfer (SP)
|
100% |
51739
66.5 IPS |
|
|
Style Transfer (HP)
|
100% |
67450
86.7 IPS |
|
|
Style Transfer (Q)
|
98% |
147875
190.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8728
322.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13972
515.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21032
778.9 IPS |
|
|
Text Classification (SP)
|
71% |
1548
2.24 KIPS |
|
|
Text Classification (HP)
|
71% |
2321
3.36 KIPS |
|
|
Text Classification (Q)
|
92% |
2489
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2289
39.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2525
43.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2691
46.4 IPS |
