HP OMEN by HP Gaming Laptop 16-xf0xxx
Geekbench AI Score
2175
Single Precision Score
1038
Half Precision Score
4976
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 05:07 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP OMEN by HP Gaming Laptop 16-xf0xxx |
| Motherboard | HP 8BCA |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1603
298.1 IPS |
|
|
Image Classification (HP)
|
100% |
387
71.9 IPS |
|
|
Image Classification (Q)
|
99% |
4718
880.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
981
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
522
8.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
5348
87.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3036
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2661
3.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
12804
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1629
129.2 IPS |
|
|
Object Detection (HP)
|
100% |
491
39.0 IPS |
|
|
Object Detection (Q)
|
86% |
4627
371.8 IPS |
|
|
Face Detection (SP)
|
100% |
3371
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
1052
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
7062
84.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4422
34.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1527
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
5182
41.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7877
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7121
9.15 IPS |
|
|
Style Transfer (Q)
|
98% |
16385
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1377
50.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1282
47.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3854
142.7 IPS |
|
|
Text Classification (SP)
|
100% |
1249
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
591
788.2 IPS |
|
|
Text Classification (Q)
|
97% |
1258
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1514
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2144
43.1 IPS |
