HP HP Pavilion Laptop 15-eh3xxx
Geekbench AI Score
2830
Single Precision Score
1314
Half Precision Score
4600
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | minerale |
| Upload Date | November 02 2025 09:05 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7730U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion Laptop 15-eh3xxx |
| Motherboard | HP 8BC7 |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7730U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2520
468.7 IPS |
|
|
Image Classification (HP)
|
100% |
474
88.1 IPS |
|
|
Image Classification (Q)
|
96% |
4272
797.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
719
11.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
4951
80.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4486
5.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
3814
4.45 IPS |
|
|
Pose Estimation (Q)
|
86% |
9781
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
2188
173.5 IPS |
|
|
Object Detection (HP)
|
100% |
628
49.8 IPS |
|
|
Object Detection (Q)
|
58% |
2853
311.8 IPS |
|
|
Face Detection (SP)
|
100% |
2689
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
1132
13.4 IPS |
|
|
Face Detection (Q)
|
96% |
6430
76.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6445
49.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1918
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
8880
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10867
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9454
12.2 IPS |
|
|
Style Transfer (Q)
|
87% |
11175
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1972
72.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1716
63.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3730
138.2 IPS |
|
|
Text Classification (SP)
|
100% |
1661
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1397
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1762
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2164
41.8 IPS |
