HP HP Envy x360 2-in-1 Laptop 15-fe0xxx
Geekbench ML Score
1328
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | RMK1987 |
| Upload Date | September 17 2024 07:02 PM |
| 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 | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 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% |
719
134.6 IPS |
|
|
Image Classification (F16)
|
100% |
790
147.9 IPS |
|
|
Image Classification (I8)
|
99% |
715
133.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
601
10.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
578
9.66 IPS |
|
|
Image Segmentation (I8)
|
98% |
1134
18.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
1781
2.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
2098
2.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
6526
7.90 IPS |
|
|
Object Detection (F32)
|
100% |
523
39.0 IPS |
|
|
Object Detection (F16)
|
100% |
796
59.4 IPS |
|
|
Object Detection (I8)
|
62% |
801
59.8 IPS |
|
|
Face Detection (F32)
|
100% |
1406
16.7 IPS |
|
|
Face Detection (F16)
|
100% |
1448
17.2 IPS |
|
|
Face Detection (I8)
|
89% |
1524
18.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2107
16.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2292
17.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
4805
37.3 IPS |
|
|
Style Transfer (F32)
|
100% |
4803
6.32 IPS |
|
|
Style Transfer (F16)
|
100% |
5083
6.69 IPS |
|
|
Style Transfer (I8)
|
98% |
7777
10.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1286
45.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
953
34.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2331
83.2 IPS |
|
|
Text Classification (F32)
|
100% |
492
707.7 IPS |
|
|
Text Classification (F16)
|
100% |
860
1.24 KIPS |
|
|
Text Classification (I8)
|
98% |
327
469.4 IPS |
|
|
Machine Translation (F32)
|
100% |
723
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
755
13.9 IPS |
|
|
Machine Translation (I8)
|
67% |
1300
23.9 IPS |
