HP HP Pavilion Gaming Laptop 15-ec0xxx
Geekbench AI Score
1198
Single Precision Score
1195
Half Precision Score
1209
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Aytekinz |
| Upload Date | November 17 2025 01:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 3550H with Radeon Vega Mobile Gfx |
| 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% |
757
140.7 IPS |
|
|
Image Classification (HP)
|
100% |
743
138.1 IPS |
|
|
Image Classification (Q)
|
100% |
779
144.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
566
9.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
550
8.92 IPS |
|
|
Image Segmentation (Q)
|
99% |
696
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1335
1.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
1396
1.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
1577
1.85 IPS |
|
|
Object Detection (SP)
|
100% |
724
57.4 IPS |
|
|
Object Detection (HP)
|
100% |
713
56.5 IPS |
|
|
Object Detection (Q)
|
87% |
787
63.2 IPS |
|
|
Face Detection (SP)
|
100% |
1797
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
1812
21.5 IPS |
|
|
Face Detection (Q)
|
97% |
2344
27.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1958
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1907
14.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
2017
15.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4214
5.42 IPS |
|
|
Style Transfer (HP)
|
100% |
4121
5.30 IPS |
|
|
Style Transfer (Q)
|
98% |
4571
5.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
855
31.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
843
31.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
957
35.4 IPS |
|
|
Text Classification (SP)
|
100% |
877
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
904
1.21 KIPS |
|
|
Text Classification (Q)
|
91% |
360
483.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1333
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1349
23.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1336
23.0 IPS |
