HP HP Envy x360 2-in-1 Laptop 15-fe0xxx
Geekbench ML Score
1077
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | RMK1987 |
| Upload Date | September 18 2024 06:03 AM |
| Views | 3 |
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% |
610
114.2 IPS |
|
|
Image Classification (F16)
|
100% |
427
79.9 IPS |
|
|
Image Classification (I8)
|
99% |
1227
229.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
574
9.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
497
8.30 IPS |
|
|
Image Segmentation (I8)
|
98% |
804
13.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
896
1.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
1879
2.28 IPS |
|
|
Pose Estimation (I8)
|
100% |
6865
8.31 IPS |
|
|
Object Detection (F32)
|
100% |
296
22.1 IPS |
|
|
Object Detection (F16)
|
100% |
657
49.0 IPS |
|
|
Object Detection (I8)
|
62% |
657
49.1 IPS |
|
|
Face Detection (F32)
|
100% |
1131
13.4 IPS |
|
|
Face Detection (F16)
|
100% |
1094
13.0 IPS |
|
|
Face Detection (I8)
|
89% |
1416
16.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
1956
15.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
753
5.84 IPS |
|
|
Depth Estimation (I8)
|
96% |
4271
33.1 IPS |
|
|
Style Transfer (F32)
|
100% |
4124
5.43 IPS |
|
|
Style Transfer (F16)
|
100% |
4697
6.18 IPS |
|
|
Style Transfer (I8)
|
98% |
5167
6.80 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1131
40.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
947
33.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1200
42.9 IPS |
|
|
Text Classification (F32)
|
100% |
506
727.1 IPS |
|
|
Text Classification (F16)
|
100% |
805
1.16 KIPS |
|
|
Text Classification (I8)
|
98% |
266
382.2 IPS |
|
|
Machine Translation (F32)
|
100% |
774
14.2 IPS |
|
|
Machine Translation (F16)
|
100% |
715
13.2 IPS |
|
|
Machine Translation (I8)
|
67% |
1032
19.0 IPS |
