HP HP Pavilion Gaming Laptop 15-ec2xxx
Geekbench AI Score
850
Single Precision Score
499
Half Precision Score
1042
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 03:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP Pavilion Gaming Laptop 15-ec2xxx |
| Motherboard | HP 88DD |
| Power Plan | HP Recommended |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
581
108.1 IPS |
|
|
Image Classification (HP)
|
100% |
279
52.0 IPS |
|
|
Image Classification (Q)
|
96% |
1053
196.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
547
8.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
342
5.54 IPS |
|
|
Image Segmentation (Q)
|
97% |
792
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2015
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1939
2.26 IPS |
|
|
Pose Estimation (Q)
|
87% |
4063
4.80 IPS |
|
|
Object Detection (SP)
|
100% |
533
42.3 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (Q)
|
86% |
534
43.0 IPS |
|
|
Face Detection (SP)
|
100% |
666
7.91 IPS |
|
|
Face Detection (HP)
|
100% |
443
5.27 IPS |
|
|
Face Detection (Q)
|
96% |
1181
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1506
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
645
4.97 IPS |
|
|
Depth Estimation (Q)
|
77% |
1666
13.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3524
4.53 IPS |
|
|
Style Transfer (HP)
|
100% |
2952
3.80 IPS |
|
|
Style Transfer (Q)
|
87% |
4551
5.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
586
21.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
794
29.4 IPS |
|
|
Text Classification (SP)
|
100% |
460
614.2 IPS |
|
|
Text Classification (HP)
|
100% |
204
272.7 IPS |
|
|
Text Classification (Q)
|
97% |
131
175.8 IPS |
|
|
Machine Translation (SP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
320
5.51 IPS |
|
|
Machine Translation (Q)
|
60% |
897
20.0 IPS |
