HP HP Pavilion Laptop 15-eg3xxx
Geekbench AI Score
1498
Single Precision Score
631
Half Precision Score
2884
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | saeed711 |
| Upload Date | December 01 2025 04:59 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1360P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion Laptop 15-eg3xxx |
| Motherboard | HP 8BFD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1360P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1151
214.0 IPS |
|
|
Image Classification (HP)
|
100% |
238
44.3 IPS |
|
|
Image Classification (Q)
|
99% |
2205
411.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
693
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
384
6.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
3321
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2449
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
1696
1.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
7905
9.27 IPS |
|
|
Object Detection (SP)
|
100% |
1232
97.7 IPS |
|
|
Object Detection (HP)
|
100% |
294
23.4 IPS |
|
|
Object Detection (Q)
|
86% |
2342
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
2645
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
673
8.00 IPS |
|
|
Face Detection (Q)
|
97% |
3320
39.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2865
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
923
7.11 IPS |
|
|
Depth Estimation (Q)
|
78% |
5881
46.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5770
7.42 IPS |
|
|
Style Transfer (HP)
|
100% |
4227
5.43 IPS |
|
|
Style Transfer (Q)
|
98% |
8416
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
984
36.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
782
28.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2225
82.4 IPS |
|
|
Text Classification (SP)
|
100% |
708
945.5 IPS |
|
|
Text Classification (HP)
|
100% |
298
398.0 IPS |
|
|
Text Classification (Q)
|
97% |
616
825.5 IPS |
|
|
Machine Translation (SP)
|
100% |
778
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
360
6.21 IPS |
|
|
Machine Translation (Q)
|
65% |
1305
26.2 IPS |
