HP HP Pavilion Power Laptop 15-cb0xx
Geekbench AI Score
1353
Single Precision Score
730
Half Precision Score
1463
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 15 2024 04:27 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7300HQ |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | HP HP Pavilion Power Laptop 15-cb0xx |
| Motherboard | HP 836B |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7300HQ |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
807
150.1 IPS |
|
|
Image Classification (HP)
|
100% |
275
51.2 IPS |
|
|
Image Classification (Q)
|
96% |
1052
196.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
601
9.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
439
7.12 IPS |
|
|
Image Segmentation (Q)
|
97% |
917
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2462
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1986
2.32 IPS |
|
|
Pose Estimation (Q)
|
87% |
4139
4.89 IPS |
|
|
Object Detection (SP)
|
100% |
818
64.8 IPS |
|
|
Object Detection (HP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (Q)
|
86% |
874
70.3 IPS |
|
|
Face Detection (SP)
|
100% |
1302
15.5 IPS |
|
|
Face Detection (HP)
|
100% |
776
9.23 IPS |
|
|
Face Detection (Q)
|
96% |
1997
23.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2597
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1069
8.24 IPS |
|
|
Depth Estimation (Q)
|
77% |
2375
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5701
7.33 IPS |
|
|
Style Transfer (HP)
|
100% |
4501
5.79 IPS |
|
|
Style Transfer (Q)
|
87% |
6869
8.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1099
40.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
923
34.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1446
53.6 IPS |
|
|
Text Classification (SP)
|
100% |
918
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
401
535.8 IPS |
|
|
Text Classification (Q)
|
97% |
290
388.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1087
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
368
6.33 IPS |
|
|
Machine Translation (Q)
|
60% |
943
21.0 IPS |
