HP HP Envy x360 2-in-1 Laptop 15-fe0xxx
Geekbench ML Score
2075
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | RMK1987 |
| Upload Date | September 18 2024 06:30 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% |
1304
244.0 IPS |
|
|
Image Classification (F16)
|
100% |
1285
240.5 IPS |
|
|
Image Classification (I8)
|
99% |
2090
391.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
775
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
782
13.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1649
27.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
3176
3.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
3333
4.04 IPS |
|
|
Pose Estimation (I8)
|
100% |
8849
10.7 IPS |
|
|
Object Detection (F32)
|
100% |
1210
90.3 IPS |
|
|
Object Detection (F16)
|
100% |
1079
80.6 IPS |
|
|
Object Detection (I8)
|
62% |
1158
86.5 IPS |
|
|
Face Detection (F32)
|
100% |
2128
25.3 IPS |
|
|
Face Detection (F16)
|
100% |
2099
25.0 IPS |
|
|
Face Detection (I8)
|
89% |
2818
33.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3459
26.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
3522
27.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
7942
61.6 IPS |
|
|
Style Transfer (F32)
|
100% |
7570
9.96 IPS |
|
|
Style Transfer (F16)
|
100% |
7334
9.65 IPS |
|
|
Style Transfer (I8)
|
98% |
11652
15.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1749
62.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1655
59.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2773
99.0 IPS |
|
|
Text Classification (F32)
|
100% |
993
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
1047
1.51 KIPS |
|
|
Text Classification (I8)
|
98% |
393
564.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1250
23.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1178
21.7 IPS |
|
|
Machine Translation (I8)
|
67% |
1737
32.0 IPS |
