HP OMEN by HP Gaming Laptop 16-wf0xxx
Geekbench AI Score
13593
Single Precision Score
23409
Half Precision Score
10742
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 02:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP OMEN by HP Gaming Laptop 16-wf0xxx |
| Motherboard | HP 8BAB |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5766
1.07 KIPS |
|
|
Image Classification (HP)
|
99% |
10091
1.88 KIPS |
|
|
Image Classification (Q)
|
99% |
5231
975.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
8774
142.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11740
190.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7993
130.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
68695
80.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
196114
228.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
58861
69.0 IPS |
|
|
Object Detection (SP)
|
100% |
6923
549.1 IPS |
|
|
Object Detection (HP)
|
100% |
11683
926.7 IPS |
|
|
Object Detection (Q)
|
84% |
6062
489.0 IPS |
|
|
Face Detection (SP)
|
100% |
15257
181.3 IPS |
|
|
Face Detection (HP)
|
100% |
25940
308.2 IPS |
|
|
Face Detection (Q)
|
97% |
13656
162.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
30368
234.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
64441
496.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
25419
203.3 IPS |
|
|
Style Transfer (SP)
|
100% |
110024
141.4 IPS |
|
|
Style Transfer (HP)
|
100% |
293523
377.3 IPS |
|
|
Style Transfer (Q)
|
98% |
101216
130.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22659
836.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38404
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16560
613.2 IPS |
|
|
Text Classification (SP)
|
100% |
2791
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
3404
4.54 KIPS |
|
|
Text Classification (Q)
|
97% |
1607
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2778
47.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2839
48.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1467
27.5 IPS |
