HP HP Pavilion Gaming Laptop 15-ec1xxx
Geekbench AI Score
2679
Single Precision Score
2668
Half Precision Score
3232
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ArpanRay |
| Upload Date | May 20 2025 06:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 4600H with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP Pavilion Gaming Laptop 15-ec1xxx |
| Motherboard | HP 87B2 |
| Power Plan | HP Recommended |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 4600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1680
312.5 IPS |
|
|
Image Classification (HP)
|
100% |
1652
307.2 IPS |
|
|
Image Classification (Q)
|
100% |
1900
353.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1318
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2505
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3839
4.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
3808
4.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
4872
5.71 IPS |
|
|
Object Detection (SP)
|
100% |
1598
126.7 IPS |
|
|
Object Detection (HP)
|
100% |
1593
126.3 IPS |
|
|
Object Detection (Q)
|
87% |
2170
174.0 IPS |
|
|
Face Detection (SP)
|
100% |
3071
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (Q)
|
97% |
6335
75.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4608
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4702
36.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
5668
44.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10936
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11046
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14057
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2158
79.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2204
81.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2845
105.4 IPS |
|
|
Text Classification (SP)
|
100% |
1807
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1776
2.37 KIPS |
|
|
Text Classification (Q)
|
91% |
746
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2326
40.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2254
38.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2311
39.8 IPS |
