HP HP Pavilion Gaming Laptop 15-ec0xxx
Geekbench AI Score
650
Single Precision Score
653
Half Precision Score
544
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Aytekinz |
| Upload Date | November 17 2025 05:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 3550H |
| System Information | |
|---|---|
| Operating System | Zorin OS 18 |
| Model | HP HP Pavilion Gaming Laptop 15-ec0xxx |
| Motherboard | HP 86D4 |
| 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 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 29.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
335
62.3 IPS |
|
|
Image Classification (HP)
|
100% |
335
62.3 IPS |
|
|
Image Classification (Q)
|
99% |
283
52.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
560
9.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
564
9.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
413
6.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
707
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
726
0.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
819
0.96 IPS |
|
|
Object Detection (SP)
|
100% |
428
33.9 IPS |
|
|
Object Detection (HP)
|
100% |
435
34.5 IPS |
|
|
Object Detection (Q)
|
85% |
388
31.3 IPS |
|
|
Face Detection (SP)
|
100% |
934
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
934
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
961
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
835
6.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
841
6.48 IPS |
|
|
Depth Estimation (Q)
|
63% |
730
6.85 IPS |
|
|
Style Transfer (SP)
|
100% |
1284
1.65 IPS |
|
|
Style Transfer (HP)
|
100% |
1294
1.66 IPS |
|
|
Style Transfer (Q)
|
98% |
1822
2.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
455
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
449
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
505
18.7 IPS |
|
|
Text Classification (SP)
|
100% |
636
848.9 IPS |
|
|
Text Classification (HP)
|
100% |
630
841.6 IPS |
|
|
Text Classification (Q)
|
92% |
317
425.5 IPS |
|
|
Machine Translation (SP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
826
14.2 IPS |
|
|
Machine Translation (Q)
|
58% |
302
7.09 IPS |
