HP OMEN by HP Gaming Laptop 16-wf1xxx
Geekbench AI Score
18953
Single Precision Score
30625
Half Precision Score
14859
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Lord-Tywin |
| Upload Date | January 02 2025 07:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP OMEN by HP Gaming Laptop 16-wf1xxx |
| Motherboard | HP 8C77 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14650HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7956
1.48 KIPS |
|
|
Image Classification (HP)
|
99% |
13384
2.50 KIPS |
|
|
Image Classification (Q)
|
100% |
7266
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11916
193.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14855
240.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10861
176.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
107789
125.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
292623
341.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
93990
110.1 IPS |
|
|
Object Detection (SP)
|
100% |
9008
714.6 IPS |
|
|
Object Detection (HP)
|
100% |
15379
1.22 KIPS |
|
|
Object Detection (Q)
|
85% |
7896
635.6 IPS |
|
|
Face Detection (SP)
|
100% |
22253
264.4 IPS |
|
|
Face Detection (HP)
|
100% |
33458
397.6 IPS |
|
|
Face Detection (Q)
|
97% |
19964
238.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
44445
342.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
85462
658.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
36211
289.4 IPS |
|
|
Style Transfer (SP)
|
100% |
184129
236.7 IPS |
|
|
Style Transfer (HP)
|
100% |
437962
563.0 IPS |
|
|
Style Transfer (Q)
|
98% |
164447
212.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35031
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47859
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24982
925.0 IPS |
|
|
Text Classification (SP)
|
100% |
3290
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
4096
5.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1825
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3097
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3305
57.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1653
31.0 IPS |
