Hewlett-Packard HP Notebook
Geekbench AI Score
213
Single Precision Score
151
Half Precision Score
111
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | June 15 2025 04:11 PM |
| Views | 3 |
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% |
222
41.3 IPS |
|
|
Image Classification (HP)
|
100% |
108
20.2 IPS |
|
|
Image Classification (Q)
|
99% |
51
9.51 IPS |
|
|
Image Segmentation (SP)
|
100% |
417
6.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
193
3.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
181
2.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
121
0.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
69
0.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
85
0.10 IPS |
|
|
Object Detection (SP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.6 IPS |
|
|
Object Detection (Q)
|
85% |
78
6.28 IPS |
|
|
Face Detection (SP)
|
100% |
179
2.13 IPS |
|
|
Face Detection (HP)
|
100% |
173
2.05 IPS |
|
|
Face Detection (Q)
|
97% |
152
1.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
213
1.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
153
1.18 IPS |
|
|
Depth Estimation (Q)
|
63% |
128
1.20 IPS |
|
|
Style Transfer (SP)
|
100% |
285
0.37 IPS |
|
|
Style Transfer (HP)
|
100% |
212
0.27 IPS |
|
|
Style Transfer (Q)
|
98% |
348
0.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
152
5.62 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
164
6.07 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
115
4.27 IPS |
|
|
Text Classification (SP)
|
100% |
187
249.0 IPS |
|
|
Text Classification (HP)
|
100% |
182
243.0 IPS |
|
|
Text Classification (Q)
|
92% |
60
81.0 IPS |
|
|
Machine Translation (SP)
|
100% |
371
6.40 IPS |
|
|
Machine Translation (HP)
|
100% |
167
2.88 IPS |
|
|
Machine Translation (Q)
|
58% |
108
2.54 IPS |
