HP HP Pavilion Gaming Laptop 15-ec1xxx
Geekbench AI Score
1515
Single Precision Score
754
Half Precision Score
1967
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ArpanRay |
| Upload Date | May 20 2025 06:56 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 4600H |
| 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% |
1318
245.1 IPS |
|
|
Image Classification (HP)
|
100% |
345
64.1 IPS |
|
|
Image Classification (Q)
|
96% |
1757
328.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
436
7.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
365
5.91 IPS |
|
|
Image Segmentation (Q)
|
97% |
1212
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2488
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2017
2.35 IPS |
|
|
Pose Estimation (Q)
|
86% |
3330
3.94 IPS |
|
|
Object Detection (SP)
|
100% |
1117
88.6 IPS |
|
|
Object Detection (HP)
|
100% |
376
29.8 IPS |
|
|
Object Detection (Q)
|
58% |
1171
127.9 IPS |
|
|
Face Detection (SP)
|
100% |
2398
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
781
9.28 IPS |
|
|
Face Detection (Q)
|
96% |
3732
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3048
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1141
8.79 IPS |
|
|
Depth Estimation (Q)
|
78% |
3651
29.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6074
7.81 IPS |
|
|
Style Transfer (HP)
|
100% |
4839
6.22 IPS |
|
|
Style Transfer (Q)
|
87% |
6828
8.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1088
40.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
923
34.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1213
44.9 IPS |
|
|
Text Classification (SP)
|
100% |
762
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
386
515.4 IPS |
|
|
Text Classification (Q)
|
97% |
681
912.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (Q)
|
68% |
1359
26.2 IPS |
