HP HP Pavilion Gaming Laptop 15-ec0xxx
Geekbench AI Score
719
Single Precision Score
457
Half Precision Score
906
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 07:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3550H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP Pavilion Gaming Laptop 15-ec0xxx |
| Motherboard | HP 86D5 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3550H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
709
131.9 IPS |
|
|
Image Classification (HP)
|
100% |
252
46.8 IPS |
|
|
Image Classification (Q)
|
96% |
747
139.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
356
5.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
289
4.69 IPS |
|
|
Image Segmentation (Q)
|
97% |
756
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1191
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
927
1.08 IPS |
|
|
Pose Estimation (Q)
|
86% |
1455
1.72 IPS |
|
|
Object Detection (SP)
|
100% |
540
42.8 IPS |
|
|
Object Detection (HP)
|
100% |
250
19.9 IPS |
|
|
Object Detection (Q)
|
58% |
461
50.4 IPS |
|
|
Face Detection (SP)
|
100% |
1336
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
530
6.30 IPS |
|
|
Face Detection (Q)
|
96% |
1502
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
496
3.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
506
3.90 IPS |
|
|
Depth Estimation (Q)
|
78% |
1119
8.93 IPS |
|
|
Style Transfer (SP)
|
100% |
2079
2.67 IPS |
|
|
Style Transfer (HP)
|
100% |
1938
2.49 IPS |
|
|
Style Transfer (Q)
|
87% |
2969
3.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
507
18.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
422
15.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
638
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
554
739.3 IPS |
|
|
Text Classification (HP)
|
100% |
282
375.9 IPS |
|
|
Text Classification (Q)
|
97% |
410
549.4 IPS |
|
|
Machine Translation (SP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
381
6.56 IPS |
|
|
Machine Translation (Q)
|
68% |
759
14.7 IPS |
