HP HP Envy x360 2-in-1 Laptop 15-fe0xxx
Geekbench ML Score
1037
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | RMK1987 |
| Upload Date | September 18 2024 06:10 AM |
| Views | 1 |
System Information
| 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 |
| L1 Instruction Cache | 64.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 2.00 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
668
124.9 IPS |
|
|
Image Classification (F16)
|
100% |
602
112.7 IPS |
|
|
Image Classification (I8)
|
99% |
518
96.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
425
7.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
444
7.42 IPS |
|
|
Image Segmentation (I8)
|
98% |
1099
18.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
868
1.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
1550
1.88 IPS |
|
|
Pose Estimation (I8)
|
100% |
2867
3.47 IPS |
|
|
Object Detection (F32)
|
100% |
625
46.7 IPS |
|
|
Object Detection (F16)
|
100% |
442
33.0 IPS |
|
|
Object Detection (I8)
|
62% |
760
56.7 IPS |
|
|
Face Detection (F32)
|
100% |
524
6.23 IPS |
|
|
Face Detection (F16)
|
100% |
1421
16.9 IPS |
|
|
Face Detection (I8)
|
89% |
1706
20.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
981
7.61 IPS |
|
|
Depth Estimation (F16)
|
100% |
1968
15.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
2890
22.4 IPS |
|
|
Style Transfer (F32)
|
100% |
4384
5.77 IPS |
|
|
Style Transfer (F16)
|
100% |
2194
2.89 IPS |
|
|
Style Transfer (I8)
|
98% |
7076
9.31 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
872
31.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
839
30.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2323
82.9 IPS |
|
|
Text Classification (F32)
|
100% |
666
956.7 IPS |
|
|
Text Classification (F16)
|
100% |
440
632.2 IPS |
|
|
Text Classification (I8)
|
98% |
309
444.3 IPS |
|
|
Machine Translation (F32)
|
100% |
701
12.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1049
19.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1568
28.9 IPS |
