HP HP Pavilion Notebook
Geekbench AI Score
634
Single Precision Score
648
Half Precision Score
728
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 09:36 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-5020U CPU @ 2.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP Pavilion Notebook |
| Motherboard | HP 8094 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-5020U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
360
66.9 IPS |
|
|
Image Classification (HP)
|
100% |
274
51.0 IPS |
|
|
Image Classification (Q)
|
100% |
419
77.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
398
6.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (Q)
|
99% |
497
8.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
773
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
774
0.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
910
1.07 IPS |
|
|
Object Detection (SP)
|
100% |
370
29.3 IPS |
|
|
Object Detection (HP)
|
100% |
368
29.2 IPS |
|
|
Object Detection (Q)
|
87% |
462
37.0 IPS |
|
|
Face Detection (SP)
|
100% |
866
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
870
10.3 IPS |
|
|
Face Detection (Q)
|
97% |
1244
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1011
7.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
1009
7.78 IPS |
|
|
Depth Estimation (Q)
|
81% |
1157
9.12 IPS |
|
|
Style Transfer (SP)
|
100% |
2282
2.93 IPS |
|
|
Style Transfer (HP)
|
100% |
2269
2.92 IPS |
|
|
Style Transfer (Q)
|
98% |
2239
2.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
467
17.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
557
20.6 IPS |
|
|
Text Classification (SP)
|
100% |
535
713.5 IPS |
|
|
Text Classification (HP)
|
100% |
547
730.2 IPS |
|
|
Text Classification (Q)
|
91% |
331
444.5 IPS |
|
|
Machine Translation (SP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (Q)
|
100% |
812
14.0 IPS |
