Hewlett-Packard HP ENVY Notebook
Geekbench AI Score
358
Single Precision Score
210
Half Precision Score
366
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Gerryrg |
| Upload Date | October 09 2024 08:08 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-5500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP ENVY Notebook |
| Motherboard | Hewlett-Packard 80DE |
| Power Plan | Sonos |
| CPU Information | |
|---|---|
| Name | Intel Core i7-5500U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
199
36.9 IPS |
|
|
Image Classification (HP)
|
100% |
95
17.6 IPS |
|
|
Image Classification (Q)
|
96% |
266
49.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
185
3.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
132
2.14 IPS |
|
|
Image Segmentation (Q)
|
97% |
206
3.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
545
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
408
0.48 IPS |
|
|
Pose Estimation (Q)
|
87% |
719
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
186
14.8 IPS |
|
|
Object Detection (HP)
|
100% |
105
8.33 IPS |
|
|
Object Detection (Q)
|
86% |
187
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
448
5.32 IPS |
|
|
Face Detection (HP)
|
100% |
251
2.98 IPS |
|
|
Face Detection (Q)
|
96% |
542
6.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
601
4.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
311
2.40 IPS |
|
|
Depth Estimation (Q)
|
77% |
541
4.33 IPS |
|
|
Style Transfer (SP)
|
100% |
1311
1.69 IPS |
|
|
Style Transfer (HP)
|
100% |
964
1.24 IPS |
|
|
Style Transfer (Q)
|
87% |
1576
2.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
292
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
221
8.16 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
357
13.2 IPS |
|
|
Text Classification (SP)
|
100% |
260
347.3 IPS |
|
|
Text Classification (HP)
|
100% |
139
185.5 IPS |
|
|
Text Classification (Q)
|
97% |
120
161.0 IPS |
|
|
Machine Translation (SP)
|
100% |
346
5.97 IPS |
|
|
Machine Translation (HP)
|
100% |
136
2.35 IPS |
|
|
Machine Translation (Q)
|
60% |
301
6.71 IPS |
