HP OMEN by HP 16.1 inch Gaming Laptop PC
Geekbench AI Score
17382
Single Precision Score
29190
Half Precision Score
13589
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cyberkunju |
| Upload Date | April 02 2025 06:48 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP OMEN by HP 16.1 inch Gaming Laptop PC |
| Motherboard | HP 8BCA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6884
1.28 KIPS |
|
|
Image Classification (HP)
|
99% |
12099
2.26 KIPS |
|
|
Image Classification (Q)
|
99% |
6246
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12533
203.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17596
285.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11257
183.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
88331
103.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
238779
278.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
77647
91.0 IPS |
|
|
Object Detection (SP)
|
100% |
8500
674.2 IPS |
|
|
Object Detection (HP)
|
100% |
15125
1.20 KIPS |
|
|
Object Detection (Q)
|
84% |
7505
605.3 IPS |
|
|
Face Detection (SP)
|
100% |
20862
247.9 IPS |
|
|
Face Detection (HP)
|
100% |
32664
388.1 IPS |
|
|
Face Detection (Q)
|
97% |
18421
219.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
40183
309.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
76846
592.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
32918
263.3 IPS |
|
|
Style Transfer (SP)
|
100% |
136636
175.6 IPS |
|
|
Style Transfer (HP)
|
100% |
337191
433.5 IPS |
|
|
Style Transfer (Q)
|
98% |
122909
158.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27185
1.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45148
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20595
762.6 IPS |
|
|
Text Classification (SP)
|
100% |
3097
4.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3513
4.69 KIPS |
|
|
Text Classification (Q)
|
97% |
1824
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4031
69.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4352
75.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1873
35.1 IPS |
