HP HP Pavilion Gaming Laptop 17-cd1xxx
Geekbench AI Score
1533
Single Precision Score
810
Half Precision Score
2367
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 11 2025 10:00 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion Gaming Laptop 17-cd1xxx |
| Motherboard | HP 8745 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1182
219.9 IPS |
|
|
Image Classification (HP)
|
100% |
368
68.5 IPS |
|
|
Image Classification (Q)
|
96% |
2008
375.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
706
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
463
7.50 IPS |
|
|
Image Segmentation (Q)
|
97% |
2197
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2177
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
1797
2.10 IPS |
|
|
Pose Estimation (Q)
|
86% |
4139
4.89 IPS |
|
|
Object Detection (SP)
|
100% |
1052
83.4 IPS |
|
|
Object Detection (HP)
|
100% |
408
32.4 IPS |
|
|
Object Detection (Q)
|
58% |
1319
144.1 IPS |
|
|
Face Detection (SP)
|
100% |
2294
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
816
9.70 IPS |
|
|
Face Detection (Q)
|
96% |
3697
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2767
21.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1135
8.74 IPS |
|
|
Depth Estimation (Q)
|
78% |
4249
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5355
6.88 IPS |
|
|
Style Transfer (HP)
|
100% |
4207
5.41 IPS |
|
|
Style Transfer (Q)
|
87% |
7313
9.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
987
36.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
890
32.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1833
67.9 IPS |
|
|
Text Classification (SP)
|
100% |
930
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
570
761.2 IPS |
|
|
Text Classification (Q)
|
97% |
764
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1204
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (Q)
|
68% |
1429
27.6 IPS |
