HP HP Pavilion Gaming Laptop 17-cd0xxx
Geekbench AI Score
2471
Single Precision Score
1029
Half Precision Score
2877
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 11:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | HP HP Pavilion Gaming Laptop 17-cd0xxx |
| Motherboard | HP 85FE |
| Power Plan | Vysok vkon |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2143
398.5 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.6 IPS |
|
|
Image Classification (Q)
|
96% |
2994
559.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
870
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
600
9.72 IPS |
|
|
Image Segmentation (Q)
|
97% |
1538
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3691
4.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
3059
3.57 IPS |
|
|
Pose Estimation (Q)
|
86% |
7174
8.48 IPS |
|
|
Object Detection (SP)
|
100% |
2107
167.1 IPS |
|
|
Object Detection (HP)
|
100% |
468
37.1 IPS |
|
|
Object Detection (Q)
|
58% |
1910
208.7 IPS |
|
|
Face Detection (SP)
|
100% |
3321
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
951
11.3 IPS |
|
|
Face Detection (Q)
|
96% |
5074
60.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5695
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1419
10.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
6737
53.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10444
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6712
8.63 IPS |
|
|
Style Transfer (Q)
|
87% |
11756
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1516
56.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1614
59.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2205
81.7 IPS |
|
|
Text Classification (SP)
|
100% |
1276
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
554
739.2 IPS |
|
|
Text Classification (Q)
|
97% |
400
536.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1532
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
536
9.24 IPS |
|
|
Machine Translation (Q)
|
68% |
1739
33.6 IPS |
