HP OMEN Laptop 15-en0xxx
Geekbench AI Score
8358
Single Precision Score
6961
Half Precision Score
6020
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 05:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN Laptop 15-en0xxx |
| Motherboard | HP 8786 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 4800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3378
628.2 IPS |
|
|
Image Classification (HP)
|
100% |
3372
627.0 IPS |
|
|
Image Classification (Q)
|
100% |
2686
499.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5419
87.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4732
76.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4649
75.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
41558
48.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
24894
29.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
35887
42.0 IPS |
|
|
Object Detection (SP)
|
100% |
4195
332.7 IPS |
|
|
Object Detection (HP)
|
100% |
4044
320.8 IPS |
|
|
Object Detection (Q)
|
89% |
3137
251.2 IPS |
|
|
Face Detection (SP)
|
100% |
8806
104.6 IPS |
|
|
Face Detection (HP)
|
100% |
7909
94.0 IPS |
|
|
Face Detection (Q)
|
97% |
7024
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21166
163.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16565
127.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
15599
125.5 IPS |
|
|
Style Transfer (SP)
|
100% |
70176
90.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48496
62.3 IPS |
|
|
Style Transfer (Q)
|
98% |
59832
77.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13097
483.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10689
394.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8716
322.8 IPS |
|
|
Text Classification (SP)
|
100% |
1591
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1281
1.71 KIPS |
|
|
Text Classification (Q)
|
97% |
906
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1914
33.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1912
33.0 IPS |
|
|
Machine Translation (Q)
|
60% |
860
19.2 IPS |
