HP HP Pavilion Gaming Laptop 17-cd0xxx
Geekbench AI Score
2532
Single Precision Score
1060
Half Precision Score
2860
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 11:28 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% |
2213
411.5 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.5 IPS |
|
|
Image Classification (Q)
|
96% |
2980
556.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1110
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
565
9.15 IPS |
|
|
Image Segmentation (Q)
|
97% |
1538
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4028
4.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
3453
4.03 IPS |
|
|
Pose Estimation (Q)
|
86% |
7025
8.30 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.5 IPS |
|
|
Object Detection (HP)
|
100% |
466
37.0 IPS |
|
|
Object Detection (Q)
|
58% |
1909
208.6 IPS |
|
|
Face Detection (SP)
|
100% |
3391
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (Q)
|
96% |
4961
59.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5752
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1351
10.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
6491
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11033
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8008
10.3 IPS |
|
|
Style Transfer (Q)
|
87% |
12041
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1863
68.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1455
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2245
83.2 IPS |
|
|
Text Classification (SP)
|
100% |
1293
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
618
824.6 IPS |
|
|
Text Classification (Q)
|
97% |
401
537.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1532
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
543
9.35 IPS |
|
|
Machine Translation (Q)
|
68% |
1712
33.1 IPS |
