HP HP ENVY x360 Convertible 13-ay0xxx
Geekbench ML Score
744
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 02:42 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ENVY x360 Convertible 13-ay0xxx |
| Motherboard | HP 876E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 4500U |
| Topology | 1 Processor, 6 Cores |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.38 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 4.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
551
103.0 IPS |
|
|
Image Classification (F16)
|
100% |
616
115.2 IPS |
|
|
Image Classification (I8)
|
97% |
924
172.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
365
6.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
311
5.20 IPS |
|
|
Image Segmentation (I8)
|
97% |
738
12.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1600
1.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
1301
1.58 IPS |
|
|
Pose Estimation (I8)
|
100% |
2165
2.62 IPS |
|
|
Object Detection (F32)
|
100% |
413
30.8 IPS |
|
|
Object Detection (F16)
|
100% |
383
28.6 IPS |
|
|
Object Detection (I8)
|
60% |
330
24.6 IPS |
|
|
Face Detection (F32)
|
100% |
620
7.37 IPS |
|
|
Face Detection (F16)
|
100% |
600
7.13 IPS |
|
|
Face Detection (I8)
|
87% |
1108
13.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
786
6.10 IPS |
|
|
Depth Estimation (F16)
|
100% |
933
7.24 IPS |
|
|
Depth Estimation (I8)
|
74% |
2234
17.3 IPS |
|
|
Style Transfer (F32)
|
100% |
2562
3.37 IPS |
|
|
Style Transfer (F16)
|
100% |
2462
3.24 IPS |
|
|
Style Transfer (I8)
|
85% |
2650
3.49 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
435
15.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
709
25.3 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
906
32.3 IPS |
|
|
Text Classification (F32)
|
100% |
453
651.4 IPS |
|
|
Text Classification (F16)
|
100% |
519
745.5 IPS |
|
|
Text Classification (I8)
|
94% |
217
312.1 IPS |
|
|
Machine Translation (F32)
|
100% |
529
9.73 IPS |
|
|
Machine Translation (F16)
|
100% |
444
8.17 IPS |
|
|
Machine Translation (I8)
|
67% |
616
11.3 IPS |
