HP HP Envy x360 2-in-1 Laptop 15-fe0xxx
Geekbench AI Score
1832
Single Precision Score
1851
Half Precision Score
4147
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | RMK1987 |
| Upload Date | September 18 2024 07:58 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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 | High performance |
| 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% |
1184
220.2 IPS |
|
|
Image Classification (HP)
|
100% |
1126
209.4 IPS |
|
|
Image Classification (Q)
|
100% |
2509
466.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1565
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3094
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2858
3.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2642
3.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
8140
9.54 IPS |
|
|
Object Detection (SP)
|
100% |
1017
80.7 IPS |
|
|
Object Detection (HP)
|
100% |
1109
87.9 IPS |
|
|
Object Detection (Q)
|
88% |
2331
186.8 IPS |
|
|
Face Detection (SP)
|
100% |
2975
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
2998
35.6 IPS |
|
|
Face Detection (Q)
|
100% |
6279
74.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3236
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2857
22.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
7292
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7125
9.16 IPS |
|
|
Style Transfer (HP)
|
100% |
7663
9.85 IPS |
|
|
Style Transfer (Q)
|
98% |
22346
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1473
54.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1464
54.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3930
145.5 IPS |
|
|
Text Classification (SP)
|
100% |
475
634.4 IPS |
|
|
Text Classification (HP)
|
100% |
572
764.0 IPS |
|
|
Text Classification (Q)
|
92% |
1768
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1654
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1612
27.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1440
24.8 IPS |
