HP OMEN by HP Laptop 17-ck1xxx
Geekbench AI Score
3143
Single Precision Score
1245
Half Precision Score
5240
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 07:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN by HP Laptop 17-ck1xxx |
| Motherboard | HP 8A17 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2592
482.0 IPS |
|
|
Image Classification (HP)
|
100% |
458
85.2 IPS |
|
|
Image Classification (Q)
|
99% |
4974
927.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1482
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
858
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2711
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5341
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
3430
4.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
16600
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2336
185.3 IPS |
|
|
Object Detection (HP)
|
100% |
582
46.2 IPS |
|
|
Object Detection (Q)
|
86% |
4728
380.0 IPS |
|
|
Face Detection (SP)
|
100% |
5663
67.3 IPS |
|
|
Face Detection (HP)
|
100% |
1352
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
6914
82.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6544
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1735
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11296
90.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12132
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8195
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
17413
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2183
80.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1586
58.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3415
126.5 IPS |
|
|
Text Classification (SP)
|
100% |
1275
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
630
841.1 IPS |
|
|
Text Classification (Q)
|
97% |
1420
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1571
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2240
45.0 IPS |
