HP HP Envy x360 2-in-1 Laptop 15-fe0xxx
Geekbench AI Score
4154
Single Precision Score
5543
Half Precision Score
7915
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | RMK1987 |
| Upload Date | September 18 2024 08:00 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2308
429.2 IPS |
|
|
Image Classification (HP)
|
100% |
3219
598.7 IPS |
|
|
Image Classification (Q)
|
99% |
3401
634.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3783
61.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5951
96.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6631
107.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9555
11.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
7197
8.40 IPS |
|
|
Pose Estimation (Q)
|
97% |
28307
33.1 IPS |
|
|
Object Detection (SP)
|
100% |
2327
184.5 IPS |
|
|
Object Detection (HP)
|
100% |
3240
257.0 IPS |
|
|
Object Detection (Q)
|
90% |
4176
333.9 IPS |
|
|
Face Detection (SP)
|
100% |
6407
76.1 IPS |
|
|
Face Detection (HP)
|
100% |
10209
121.3 IPS |
|
|
Face Detection (Q)
|
100% |
14966
177.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9082
70.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
14266
110.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
17902
139.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24602
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34737
44.7 IPS |
|
|
Style Transfer (Q)
|
98% |
64667
83.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3995
147.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6041
223.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10113
374.5 IPS |
|
|
Text Classification (SP)
|
71% |
1099
1.59 KIPS |
|
|
Text Classification (HP)
|
71% |
1302
1.88 KIPS |
|
|
Text Classification (Q)
|
92% |
1357
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1541
26.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1523
26.2 IPS |
