HP HP Envy x360 2-in-1 Laptop 14-fc0xxx
Geekbench ML Score
1652
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 13 2024 09:27 AM |
| Views | 57 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP Envy x360 2-in-1 Laptop 14-fc0xxx |
| Motherboard | HP 8C65 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 7 |
| L1 Data Cache | 48.0 KB x 7 |
| 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 | DirectML |
| Device | Intel(R) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
656
122.7 IPS |
|
|
Image Classification (F16)
|
100% |
647
121.1 IPS |
|
|
Image Classification (I8)
|
100% |
595
111.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
779
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
801
13.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
708
11.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
7165
8.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
7100
8.60 IPS |
|
|
Pose Estimation (I8)
|
100% |
6359
7.70 IPS |
|
|
Object Detection (F32)
|
100% |
554
41.3 IPS |
|
|
Object Detection (F16)
|
100% |
657
49.1 IPS |
|
|
Object Detection (I8)
|
54% |
560
41.8 IPS |
|
|
Face Detection (F32)
|
100% |
980
11.6 IPS |
|
|
Face Detection (F16)
|
100% |
985
11.7 IPS |
|
|
Face Detection (I8)
|
89% |
878
10.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3743
29.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
3825
29.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
3366
26.1 IPS |
|
|
Style Transfer (F32)
|
100% |
20537
27.0 IPS |
|
|
Style Transfer (F16)
|
100% |
20214
26.6 IPS |
|
|
Style Transfer (I8)
|
98% |
16709
22.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3867
138.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3992
142.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2767
98.8 IPS |
|
|
Text Classification (F32)
|
90% |
558
801.3 IPS |
|
|
Text Classification (F16)
|
90% |
546
784.8 IPS |
|
|
Text Classification (I8)
|
90% |
398
571.7 IPS |
|
|
Machine Translation (F32)
|
100% |
784
14.4 IPS |
|
|
Machine Translation (F16)
|
100% |
805
14.8 IPS |
|
|
Machine Translation (I8)
|
70% |
514
9.46 IPS |
