Hewlett-Packard HP 15 Notebook PC
Geekbench AI Score
560
Single Precision Score
556
Half Precision Score
594
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 10 2025 05:45 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-4005U CPU @ 1.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP 15 Notebook PC |
| Motherboard | Hewlett-Packard 2211 |
| Power Plan | Driver Booster Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i3-4005U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 69 Stepping 1 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
318
59.2 IPS |
|
|
Image Classification (HP)
|
100% |
303
56.4 IPS |
|
|
Image Classification (Q)
|
100% |
373
69.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
344
5.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
346
5.61 IPS |
|
|
Image Segmentation (Q)
|
99% |
412
6.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
653
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
650
0.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
762
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
312
24.7 IPS |
|
|
Object Detection (HP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (Q)
|
87% |
382
30.7 IPS |
|
|
Face Detection (SP)
|
100% |
731
8.68 IPS |
|
|
Face Detection (HP)
|
100% |
733
8.71 IPS |
|
|
Face Detection (Q)
|
97% |
1037
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
837
6.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
834
6.42 IPS |
|
|
Depth Estimation (Q)
|
81% |
954
7.52 IPS |
|
|
Style Transfer (SP)
|
100% |
1948
2.50 IPS |
|
|
Style Transfer (HP)
|
100% |
1943
2.50 IPS |
|
|
Style Transfer (Q)
|
98% |
2177
2.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
395
14.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
398
14.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
460
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
453
605.0 IPS |
|
|
Text Classification (HP)
|
100% |
454
605.7 IPS |
|
|
Text Classification (Q)
|
91% |
195
262.6 IPS |
|
|
Machine Translation (SP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (Q)
|
100% |
638
11.0 IPS |
