HP HP Pavilion Gaming Laptop 17-cd0xxx
Geekbench AI Score
2557
Single Precision Score
1021
Half Precision Score
2755
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 09:24 AM |
| 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% |
2207
410.5 IPS |
|
|
Image Classification (HP)
|
100% |
355
66.1 IPS |
|
|
Image Classification (Q)
|
96% |
2711
506.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1066
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
563
9.13 IPS |
|
|
Image Segmentation (Q)
|
97% |
1510
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3903
4.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
2982
3.48 IPS |
|
|
Pose Estimation (Q)
|
86% |
7460
8.82 IPS |
|
|
Object Detection (SP)
|
100% |
2105
167.0 IPS |
|
|
Object Detection (HP)
|
100% |
478
37.9 IPS |
|
|
Object Detection (Q)
|
58% |
1854
202.5 IPS |
|
|
Face Detection (SP)
|
100% |
3259
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
927
11.0 IPS |
|
|
Face Detection (Q)
|
96% |
4910
58.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5455
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1329
10.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6359
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10275
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7810
10.0 IPS |
|
|
Style Transfer (Q)
|
87% |
11573
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1702
62.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1400
51.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2025
75.0 IPS |
|
|
Text Classification (SP)
|
100% |
1305
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
599
799.1 IPS |
|
|
Text Classification (Q)
|
97% |
393
526.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1525
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
537
9.25 IPS |
|
|
Machine Translation (Q)
|
68% |
1552
30.0 IPS |
