Hewlett-Packard HP 15 Notebook PC
Geekbench AI Score
419
Single Precision Score
244
Half Precision Score
416
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 10 2025 05:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-4005U |
| 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% |
270
50.3 IPS |
|
|
Image Classification (HP)
|
100% |
112
20.9 IPS |
|
|
Image Classification (Q)
|
96% |
304
56.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
150
2.43 IPS |
|
|
Image Segmentation (Q)
|
97% |
279
4.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
578
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
473
0.55 IPS |
|
|
Pose Estimation (Q)
|
86% |
628
0.74 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
126
10.0 IPS |
|
|
Object Detection (Q)
|
58% |
213
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
572
6.80 IPS |
|
|
Face Detection (HP)
|
100% |
272
3.23 IPS |
|
|
Face Detection (Q)
|
96% |
748
8.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
721
5.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
359
2.77 IPS |
|
|
Depth Estimation (Q)
|
78% |
720
5.74 IPS |
|
|
Style Transfer (SP)
|
100% |
1389
1.79 IPS |
|
|
Style Transfer (HP)
|
100% |
1076
1.38 IPS |
|
|
Style Transfer (Q)
|
87% |
1419
1.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
301
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
244
9.00 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
363
13.4 IPS |
|
|
Text Classification (SP)
|
100% |
305
406.5 IPS |
|
|
Text Classification (HP)
|
100% |
187
250.1 IPS |
|
|
Text Classification (Q)
|
97% |
130
174.4 IPS |
|
|
Machine Translation (SP)
|
100% |
385
6.64 IPS |
|
|
Machine Translation (HP)
|
100% |
161
2.77 IPS |
|
|
Machine Translation (Q)
|
68% |
383
7.40 IPS |
