HP HP Pavilion Laptop 15-eh3xxx
Geekbench AI Score
2863
Single Precision Score
4082
Half Precision Score
2178
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | minerale |
| Upload Date | November 02 2025 09:07 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon (TM) Graphics |
| 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% |
1046
194.5 IPS |
|
|
Image Classification (HP)
|
100% |
1409
262.0 IPS |
|
|
Image Classification (Q)
|
100% |
951
176.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1317
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1700
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1135
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12436
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
21812
25.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
9941
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1214
96.3 IPS |
|
|
Object Detection (HP)
|
100% |
1624
128.8 IPS |
|
|
Object Detection (Q)
|
88% |
1093
87.6 IPS |
|
|
Face Detection (SP)
|
100% |
2276
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
3556
42.3 IPS |
|
|
Face Detection (Q)
|
97% |
1988
23.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6183
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9890
76.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
5101
40.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21411
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36344
46.7 IPS |
|
|
Style Transfer (Q)
|
98% |
16079
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3806
140.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6118
225.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2670
98.9 IPS |
|
|
Text Classification (SP)
|
100% |
959
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1081
1.44 KIPS |
|
|
Text Classification (Q)
|
97% |
661
885.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1619
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1794
30.9 IPS |
|
|
Machine Translation (Q)
|
70% |
713
13.4 IPS |
