HP HP Envy x360 2-in-1 Laptop 15-fe0xxx
Geekbench AI Score
1892
Single Precision Score
793
Half Precision Score
3698
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ShMz |
| Upload Date | April 10 2025 01:30 AM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1355U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Envy x360 2-in-1 Laptop 15-fe0xxx |
| Motherboard | HP 8BDF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1355U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1214
225.7 IPS |
|
|
Image Classification (HP)
|
100% |
280
52.1 IPS |
|
|
Image Classification (Q)
|
99% |
2513
468.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
724
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
462
7.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
1653
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2319
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
1782
2.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
10496
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1291
102.4 IPS |
|
|
Object Detection (HP)
|
100% |
432
34.2 IPS |
|
|
Object Detection (Q)
|
86% |
3311
266.1 IPS |
|
|
Face Detection (SP)
|
100% |
4188
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
1038
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
6131
73.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4350
33.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1229
9.47 IPS |
|
|
Depth Estimation (Q)
|
78% |
7767
62.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7500
9.64 IPS |
|
|
Style Transfer (HP)
|
100% |
4596
5.91 IPS |
|
|
Style Transfer (Q)
|
98% |
12226
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1392
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
938
34.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2237
82.8 IPS |
|
|
Text Classification (SP)
|
100% |
951
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
442
589.8 IPS |
|
|
Text Classification (Q)
|
97% |
1298
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1235
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
407
7.00 IPS |
|
|
Machine Translation (Q)
|
65% |
1965
39.5 IPS |
