Hewlett-Packard HP Notebook
Geekbench AI Score
388
Single Precision Score
340
Half Precision Score
210
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | dayscholar |
| Upload Date | June 15 2025 06:00 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-5500U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Hewlett-Packard HP Notebook |
| Motherboard | Hewlett-Packard 80C2 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-5500U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
313
58.2 IPS |
|
|
Image Classification (HP)
|
100% |
294
54.6 IPS |
|
|
Image Classification (Q)
|
99% |
115
21.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
384
6.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
293
4.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
85
1.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
249
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
232
0.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
254
0.30 IPS |
|
|
Object Detection (SP)
|
100% |
278
22.0 IPS |
|
|
Object Detection (HP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (Q)
|
85% |
89
7.17 IPS |
|
|
Face Detection (SP)
|
100% |
658
7.82 IPS |
|
|
Face Detection (HP)
|
100% |
486
5.77 IPS |
|
|
Face Detection (Q)
|
97% |
379
4.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
553
4.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
566
4.36 IPS |
|
|
Depth Estimation (Q)
|
63% |
324
3.04 IPS |
|
|
Style Transfer (SP)
|
100% |
725
0.93 IPS |
|
|
Style Transfer (HP)
|
100% |
738
0.95 IPS |
|
|
Style Transfer (Q)
|
98% |
798
1.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
160
5.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
160
5.90 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
228
8.45 IPS |
|
|
Text Classification (SP)
|
100% |
332
442.8 IPS |
|
|
Text Classification (HP)
|
100% |
359
479.4 IPS |
|
|
Text Classification (Q)
|
92% |
201
270.3 IPS |
|
|
Machine Translation (SP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
338
5.81 IPS |
|
|
Machine Translation (Q)
|
58% |
172
4.04 IPS |
