HP HP Envy x360 2-in-1 Laptop 15-fe0xxx
Geekbench ML Score
2291
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | RMK1987 |
| Upload Date | September 18 2024 06:33 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 | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1152
215.5 IPS |
|
|
Image Classification (F16)
|
100% |
1160
217.1 IPS |
|
|
Image Classification (I8)
|
100% |
918
171.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1717
28.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1787
29.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1270
21.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
10435
12.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
10417
12.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
5220
6.32 IPS |
|
|
Object Detection (F32)
|
100% |
1276
95.2 IPS |
|
|
Object Detection (F16)
|
100% |
1301
97.1 IPS |
|
|
Object Detection (I8)
|
54% |
945
70.6 IPS |
|
|
Face Detection (F32)
|
100% |
2524
30.0 IPS |
|
|
Face Detection (F16)
|
100% |
2488
29.6 IPS |
|
|
Face Detection (I8)
|
89% |
1617
19.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5074
39.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5460
42.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
3810
29.5 IPS |
|
|
Style Transfer (F32)
|
100% |
22906
30.1 IPS |
|
|
Style Transfer (F16)
|
100% |
22388
29.4 IPS |
|
|
Style Transfer (I8)
|
98% |
14051
18.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3325
118.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3318
118.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1431
51.1 IPS |
|
|
Text Classification (F32)
|
100% |
792
1.14 KIPS |
|
|
Text Classification (F16)
|
100% |
781
1.12 KIPS |
|
|
Text Classification (I8)
|
98% |
404
580.1 IPS |
|
|
Machine Translation (F32)
|
100% |
979
18.0 IPS |
|
|
Machine Translation (F16)
|
100% |
987
18.2 IPS |
|
|
Machine Translation (I8)
|
70% |
506
9.31 IPS |
