HP HP Pavilion Gaming Laptop 15-ec1xxx
Geekbench AI Score
7029
Single Precision Score
5688
Half Precision Score
5358
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 27 2025 12:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Pavilion Gaming Laptop 15-ec1xxx |
| Motherboard | HP 87B2 |
| Power Plan | Ultimate Performance |
| 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% |
2866
533.0 IPS |
|
|
Image Classification (HP)
|
100% |
2725
506.9 IPS |
|
|
Image Classification (Q)
|
99% |
2557
476.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4477
72.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3745
60.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3852
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27745
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17840
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
24706
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
3498
277.5 IPS |
|
|
Object Detection (HP)
|
100% |
3308
262.4 IPS |
|
|
Object Detection (Q)
|
85% |
2995
241.1 IPS |
|
|
Face Detection (SP)
|
100% |
7709
91.6 IPS |
|
|
Face Detection (HP)
|
100% |
6519
77.5 IPS |
|
|
Face Detection (Q)
|
97% |
6672
79.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17726
136.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13101
100.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
13936
111.3 IPS |
|
|
Style Transfer (SP)
|
100% |
50917
65.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35150
45.2 IPS |
|
|
Style Transfer (Q)
|
98% |
44025
56.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10052
371.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7954
293.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6865
254.2 IPS |
|
|
Text Classification (SP)
|
100% |
1793
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1294
1.73 KIPS |
|
|
Text Classification (Q)
|
97% |
958
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1887
32.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1906
32.9 IPS |
|
|
Machine Translation (Q)
|
70% |
994
18.6 IPS |
