HP HP Pavilion Laptop 15-cw1xxx
Geekbench AI Score
742
Single Precision Score
434
Half Precision Score
803
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 26 2025 08:14 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | HP HP Pavilion Laptop 15-cw1xxx |
| Motherboard | HP 8615 |
| Power Plan | Recommand parHP |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3500U |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
631
117.4 IPS |
|
|
Image Classification (HP)
|
100% |
218
40.6 IPS |
|
|
Image Classification (Q)
|
96% |
653
122.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
355
5.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (Q)
|
97% |
638
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1182
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
953
1.11 IPS |
|
|
Pose Estimation (Q)
|
86% |
1058
1.25 IPS |
|
|
Object Detection (SP)
|
100% |
462
36.7 IPS |
|
|
Object Detection (HP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (Q)
|
58% |
413
45.1 IPS |
|
|
Face Detection (SP)
|
100% |
1120
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
476
5.66 IPS |
|
|
Face Detection (Q)
|
96% |
1354
16.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1200
9.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
604
4.65 IPS |
|
|
Depth Estimation (Q)
|
78% |
1231
9.82 IPS |
|
|
Style Transfer (SP)
|
100% |
2286
2.94 IPS |
|
|
Style Transfer (HP)
|
100% |
1904
2.45 IPS |
|
|
Style Transfer (Q)
|
87% |
2434
3.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
480
17.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
412
15.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
502
18.6 IPS |
|
|
Text Classification (SP)
|
100% |
480
640.6 IPS |
|
|
Text Classification (HP)
|
100% |
289
385.5 IPS |
|
|
Text Classification (Q)
|
97% |
485
649.5 IPS |
|
|
Machine Translation (SP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (Q)
|
68% |
625
12.1 IPS |
