HP HP Pavilion Gaming Laptop 17-cd0xxx
Geekbench AI Score
1724
Single Precision Score
2470
Half Precision Score
2355
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 11:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| 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% |
1088
202.4 IPS |
|
|
Image Classification (HP)
|
100% |
1679
312.2 IPS |
|
|
Image Classification (Q)
|
100% |
1529
284.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2216
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2081
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2692
3.14 IPS |
|
|
Pose Estimation (HP)
|
99% |
2478
2.90 IPS |
|
|
Pose Estimation (Q)
|
97% |
3696
4.33 IPS |
|
|
Object Detection (SP)
|
100% |
1041
82.6 IPS |
|
|
Object Detection (HP)
|
99% |
1648
131.1 IPS |
|
|
Object Detection (Q)
|
88% |
1540
123.5 IPS |
|
|
Face Detection (SP)
|
100% |
3077
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
5206
61.9 IPS |
|
|
Face Detection (Q)
|
97% |
4566
54.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3258
25.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5376
41.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
4892
38.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7544
9.70 IPS |
|
|
Style Transfer (HP)
|
100% |
10225
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
9195
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1314
48.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2312
85.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2205
81.7 IPS |
|
|
Text Classification (SP)
|
71% |
690
998.7 IPS |
|
|
Text Classification (HP)
|
71% |
805
1.16 KIPS |
|
|
Text Classification (Q)
|
92% |
616
827.6 IPS |
|
|
Machine Translation (SP)
|
100% |
773
13.3 IPS |
|
|
Machine Translation (HP)
|
97% |
1047
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1042
18.0 IPS |
