HP OMEN by HP Gaming Laptop 16t-wf100
Geekbench AI Score
3992
Single Precision Score
1387
Half Precision Score
6666
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | giodamuz |
| Upload Date | February 27 2026 05:17 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP OMEN by HP Gaming Laptop 16t-wf100 |
| Motherboard | HP 8C77 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700HX |
| Topology | 1 Processor, 19 Cores, 27 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 11 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3276
609.3 IPS |
|
|
Image Classification (HP)
|
100% |
478
88.8 IPS |
|
|
Image Classification (Q)
|
99% |
5435
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1805
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
859
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8342
135.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6648
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
4096
4.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
21810
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
3034
240.7 IPS |
|
|
Object Detection (HP)
|
100% |
640
50.8 IPS |
|
|
Object Detection (Q)
|
86% |
5182
416.5 IPS |
|
|
Face Detection (SP)
|
100% |
9207
109.4 IPS |
|
|
Face Detection (HP)
|
100% |
1406
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
8089
96.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8837
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1803
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
14004
111.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17021
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10384
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23822
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2641
97.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1840
67.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4582
169.7 IPS |
|
|
Text Classification (SP)
|
100% |
1341
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
665
887.2 IPS |
|
|
Text Classification (Q)
|
97% |
1104
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1761
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2480
49.8 IPS |
