HP HP Envy x360 2-in-1 Laptop 15-fe0xxx
Geekbench ML Score
1891
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | RMK1987 |
| Upload Date | September 18 2024 06:12 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% |
1062
198.7 IPS |
|
|
Image Classification (F16)
|
100% |
1041
194.8 IPS |
|
|
Image Classification (I8)
|
99% |
1770
331.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
730
12.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
743
12.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1488
24.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
2626
3.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
2723
3.30 IPS |
|
|
Pose Estimation (I8)
|
100% |
8444
10.2 IPS |
|
|
Object Detection (F32)
|
100% |
1035
77.3 IPS |
|
|
Object Detection (F16)
|
100% |
1039
77.6 IPS |
|
|
Object Detection (I8)
|
62% |
1029
76.8 IPS |
|
|
Face Detection (F32)
|
100% |
2079
24.7 IPS |
|
|
Face Detection (F16)
|
100% |
2018
24.0 IPS |
|
|
Face Detection (I8)
|
89% |
2592
30.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3342
25.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
3288
25.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
7358
57.1 IPS |
|
|
Style Transfer (F32)
|
100% |
7053
9.28 IPS |
|
|
Style Transfer (F16)
|
100% |
6862
9.03 IPS |
|
|
Style Transfer (I8)
|
98% |
11837
15.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1400
50.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1521
54.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2560
91.4 IPS |
|
|
Text Classification (F32)
|
100% |
918
1.32 KIPS |
|
|
Text Classification (F16)
|
100% |
956
1.37 KIPS |
|
|
Text Classification (I8)
|
98% |
372
535.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1107
20.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1116
20.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1714
31.5 IPS |
