HP HP Pavilion Gaming Laptop 17-cd0xxx
Geekbench AI Score
2512
Single Precision Score
1024
Half Precision Score
2824
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 11:23 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% |
2219
412.7 IPS |
|
|
Image Classification (HP)
|
100% |
350
65.1 IPS |
|
|
Image Classification (Q)
|
96% |
2388
446.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1107
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
551
8.93 IPS |
|
|
Image Segmentation (Q)
|
97% |
1522
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3857
4.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2902
3.39 IPS |
|
|
Pose Estimation (Q)
|
86% |
7118
8.41 IPS |
|
|
Object Detection (SP)
|
100% |
1750
138.8 IPS |
|
|
Object Detection (HP)
|
100% |
483
38.3 IPS |
|
|
Object Detection (Q)
|
58% |
1909
208.6 IPS |
|
|
Face Detection (SP)
|
100% |
3340
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (Q)
|
96% |
5085
60.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5345
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1381
10.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
6935
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10057
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6166
7.93 IPS |
|
|
Style Transfer (Q)
|
87% |
11933
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1746
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1652
61.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2188
81.1 IPS |
|
|
Text Classification (SP)
|
100% |
1243
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
608
810.9 IPS |
|
|
Text Classification (Q)
|
97% |
410
549.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1549
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
550
9.47 IPS |
|
|
Machine Translation (Q)
|
68% |
1733
33.5 IPS |
