HP HP Envy x360 2-in-1 Laptop 15-fe0xxx
Geekbench ML Score
2533
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | RMK1987 |
| Upload Date | September 18 2024 06:39 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 | 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% |
1458
272.9 IPS |
|
|
Image Classification (F16)
|
100% |
1349
252.4 IPS |
|
|
Image Classification (I8)
|
99% |
2346
439.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1097
18.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1123
18.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1983
33.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
3763
4.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
3813
4.62 IPS |
|
|
Pose Estimation (I8)
|
100% |
9226
11.2 IPS |
|
|
Object Detection (F32)
|
100% |
1457
108.7 IPS |
|
|
Object Detection (F16)
|
100% |
1457
108.8 IPS |
|
|
Object Detection (I8)
|
62% |
1321
98.6 IPS |
|
|
Face Detection (F32)
|
100% |
2579
30.7 IPS |
|
|
Face Detection (F16)
|
100% |
2546
30.3 IPS |
|
|
Face Detection (I8)
|
89% |
3359
39.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4777
37.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
4611
35.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
8891
69.0 IPS |
|
|
Style Transfer (F32)
|
100% |
9493
12.5 IPS |
|
|
Style Transfer (F16)
|
100% |
9310
12.2 IPS |
|
|
Style Transfer (I8)
|
98% |
14589
19.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2187
78.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2146
76.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3441
122.9 IPS |
|
|
Text Classification (F32)
|
100% |
1231
1.77 KIPS |
|
|
Text Classification (F16)
|
100% |
1205
1.73 KIPS |
|
|
Text Classification (I8)
|
98% |
504
724.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1518
27.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1480
27.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2036
37.5 IPS |
