HP HP Pavilion Laptop 15-eg3xxx
Geekbench AI Score
1698
Single Precision Score
729
Half Precision Score
3252
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | bhhawsawi |
| Upload Date | March 08 2026 10:20 AM |
| Views | 16 |
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 |
| 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% |
1311
243.9 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.3 IPS |
|
|
Image Classification (Q)
|
99% |
2337
435.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
750
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
468
7.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
3534
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2676
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1929
2.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
8701
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1241
98.5 IPS |
|
|
Object Detection (HP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (Q)
|
86% |
2531
203.4 IPS |
|
|
Face Detection (SP)
|
100% |
3258
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
815
9.68 IPS |
|
|
Face Detection (Q)
|
97% |
3919
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3434
26.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1017
7.83 IPS |
|
|
Depth Estimation (Q)
|
78% |
6431
51.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6350
8.16 IPS |
|
|
Style Transfer (HP)
|
100% |
4480
5.76 IPS |
|
|
Style Transfer (Q)
|
98% |
11487
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1246
46.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
908
33.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2437
90.2 IPS |
|
|
Text Classification (SP)
|
100% |
706
942.6 IPS |
|
|
Text Classification (HP)
|
100% |
383
511.4 IPS |
|
|
Text Classification (Q)
|
97% |
718
961.3 IPS |
|
|
Machine Translation (SP)
|
100% |
982
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
414
7.13 IPS |
|
|
Machine Translation (Q)
|
65% |
1438
28.9 IPS |
