HP HP Envy x360 2-in-1 Laptop 14-fc0xxx
Geekbench AI Score
1991
Single Precision Score
837
Half Precision Score
3983
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Kei060705 |
| Upload Date | March 31 2025 08:48 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Envy x360 2-in-1 Laptop 14-fc0xxx |
| Motherboard | HP 8C65 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1450
269.7 IPS |
|
|
Image Classification (HP)
|
100% |
371
69.0 IPS |
|
|
Image Classification (Q)
|
99% |
3697
689.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
856
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2165
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2847
3.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1616
1.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
10947
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1477
117.2 IPS |
|
|
Object Detection (HP)
|
100% |
400
31.8 IPS |
|
|
Object Detection (Q)
|
86% |
3079
247.4 IPS |
|
|
Face Detection (SP)
|
100% |
4027
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
1013
12.0 IPS |
|
|
Face Detection (Q)
|
97% |
5956
71.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3949
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1182
9.11 IPS |
|
|
Depth Estimation (Q)
|
78% |
9312
74.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7187
9.24 IPS |
|
|
Style Transfer (HP)
|
100% |
4526
5.82 IPS |
|
|
Style Transfer (Q)
|
98% |
13013
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1298
47.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
937
34.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2333
86.4 IPS |
|
|
Text Classification (SP)
|
100% |
1003
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
518
691.6 IPS |
|
|
Text Classification (Q)
|
97% |
1227
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
434
7.48 IPS |
|
|
Machine Translation (Q)
|
65% |
1804
36.3 IPS |
