HP OMEN Laptop 15-en0xxx
Geekbench AI Score
1536
Single Precision Score
823
Half Precision Score
1567
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 05:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 4800H |
| 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% |
951
176.9 IPS |
|
|
Image Classification (HP)
|
100% |
307
57.1 IPS |
|
|
Image Classification (Q)
|
96% |
1225
228.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
433
7.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
426
6.90 IPS |
|
|
Image Segmentation (Q)
|
97% |
1119
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3182
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
2618
3.05 IPS |
|
|
Pose Estimation (Q)
|
87% |
4074
4.81 IPS |
|
|
Object Detection (SP)
|
100% |
1044
82.8 IPS |
|
|
Object Detection (HP)
|
100% |
380
30.2 IPS |
|
|
Object Detection (Q)
|
86% |
820
65.9 IPS |
|
|
Face Detection (SP)
|
100% |
1530
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
804
9.55 IPS |
|
|
Face Detection (Q)
|
96% |
2091
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3467
26.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1255
9.67 IPS |
|
|
Depth Estimation (Q)
|
77% |
3061
24.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7954
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6522
8.38 IPS |
|
|
Style Transfer (Q)
|
87% |
7629
9.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1336
49.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1120
41.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1393
51.6 IPS |
|
|
Text Classification (SP)
|
100% |
908
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
368
491.0 IPS |
|
|
Text Classification (Q)
|
97% |
291
389.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1046
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
407
7.01 IPS |
|
|
Machine Translation (Q)
|
60% |
986
22.0 IPS |
