HP HP Pavilion Gaming Laptop 15-ec0xxx
Geekbench AI Score
946
Single Precision Score
537
Half Precision Score
1052
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Aytekinz |
| Upload Date | November 17 2025 01:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3550H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Pavilion Gaming Laptop 15-ec0xxx |
| Motherboard | HP 86D4 |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
694
129.0 IPS |
|
|
Image Classification (HP)
|
100% |
242
44.9 IPS |
|
|
Image Classification (Q)
|
96% |
700
130.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
370
6.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
265
4.30 IPS |
|
|
Image Segmentation (Q)
|
97% |
926
15.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1226
1.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
996
1.16 IPS |
|
|
Pose Estimation (Q)
|
86% |
1342
1.59 IPS |
|
|
Object Detection (SP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (HP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (Q)
|
58% |
524
57.2 IPS |
|
|
Face Detection (SP)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
658
7.82 IPS |
|
|
Face Detection (Q)
|
96% |
1883
22.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1618
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
801
6.17 IPS |
|
|
Depth Estimation (Q)
|
78% |
1711
13.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3167
4.07 IPS |
|
|
Style Transfer (HP)
|
100% |
2708
3.48 IPS |
|
|
Style Transfer (Q)
|
87% |
3225
4.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
655
24.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
523
19.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
777
28.8 IPS |
|
|
Text Classification (SP)
|
100% |
616
822.3 IPS |
|
|
Text Classification (HP)
|
100% |
376
502.2 IPS |
|
|
Text Classification (Q)
|
97% |
516
690.6 IPS |
|
|
Machine Translation (SP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
408
7.03 IPS |
|
|
Machine Translation (Q)
|
68% |
882
17.0 IPS |
