HP HP Pavilion Gaming Laptop 15-ec1xxx
Geekbench AI Score
2104
Single Precision Score
1106
Half Precision Score
2059
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 17 2024 04:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 4800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP Pavilion Gaming Laptop 15-ec1xxx |
| Motherboard | HP 87B2 |
| 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% |
1355
252.0 IPS |
|
|
Image Classification (HP)
|
100% |
401
74.5 IPS |
|
|
Image Classification (Q)
|
96% |
1586
296.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
517
8.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
543
8.80 IPS |
|
|
Image Segmentation (Q)
|
97% |
1458
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4955
5.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
4223
4.93 IPS |
|
|
Pose Estimation (Q)
|
87% |
6330
7.48 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
100% |
497
39.4 IPS |
|
|
Object Detection (Q)
|
86% |
1128
90.7 IPS |
|
|
Face Detection (SP)
|
100% |
1668
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
982
11.7 IPS |
|
|
Face Detection (Q)
|
96% |
2604
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5419
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1696
13.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
3834
30.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11777
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9496
12.2 IPS |
|
|
Style Transfer (Q)
|
87% |
10090
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1879
69.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1540
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1899
70.4 IPS |
|
|
Text Classification (SP)
|
100% |
1262
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
496
662.5 IPS |
|
|
Text Classification (Q)
|
97% |
372
498.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1294
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
499
8.60 IPS |
|
|
Machine Translation (Q)
|
60% |
1171
26.1 IPS |
