HP HP Envy x360 2-in-1 Laptop 15-fe0xxx
Geekbench AI Score
2222
Single Precision Score
2239
Half Precision Score
4709
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | RMK1987 |
| Upload Date | September 18 2024 07:20 AM |
| Views | 8 |
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% |
1286
239.2 IPS |
|
|
Image Classification (HP)
|
100% |
1338
248.8 IPS |
|
|
Image Classification (Q)
|
100% |
2624
488.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1829
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1872
30.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3243
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3453
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
3323
3.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
7382
8.65 IPS |
|
|
Object Detection (SP)
|
100% |
1257
99.7 IPS |
|
|
Object Detection (HP)
|
100% |
1277
101.3 IPS |
|
|
Object Detection (Q)
|
88% |
2790
223.6 IPS |
|
|
Face Detection (SP)
|
100% |
3760
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
3804
45.2 IPS |
|
|
Face Detection (Q)
|
100% |
7404
88.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3724
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3998
30.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
8370
65.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9665
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9740
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27151
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1762
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1797
66.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4389
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
625
834.9 IPS |
|
|
Text Classification (HP)
|
100% |
572
764.0 IPS |
|
|
Text Classification (Q)
|
92% |
2120
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1932
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1960
33.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1954
33.7 IPS |
