HP HP OmniBook Ultra Laptop 14-fd0xxx
Geekbench ML Score
3581
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 06:25 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP OmniBook Ultra Laptop 14-fd0xxx |
| Motherboard | HP 8CDD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 375 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 5.33 MB x 3 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1282
239.9 IPS |
|
|
Image Classification (F16)
|
100% |
1293
241.9 IPS |
|
|
Image Classification (I8)
|
99% |
3649
682.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
891
14.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
889
14.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2808
46.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
7721
9.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
7722
9.35 IPS |
|
|
Pose Estimation (I8)
|
100% |
26883
32.6 IPS |
|
|
Object Detection (F32)
|
100% |
1481
110.5 IPS |
|
|
Object Detection (F16)
|
100% |
1506
112.5 IPS |
|
|
Object Detection (I8)
|
62% |
1814
135.4 IPS |
|
|
Face Detection (F32)
|
100% |
3336
39.7 IPS |
|
|
Face Detection (F16)
|
100% |
3352
39.9 IPS |
|
|
Face Detection (I8)
|
89% |
5879
69.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
6514
50.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
6476
50.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
15673
121.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16119
21.2 IPS |
|
|
Style Transfer (F16)
|
100% |
16287
21.4 IPS |
|
|
Style Transfer (I8)
|
98% |
29787
39.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2794
99.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2809
100.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4238
151.3 IPS |
|
|
Text Classification (F32)
|
100% |
1361
1.96 KIPS |
|
|
Text Classification (F16)
|
100% |
1363
1.96 KIPS |
|
|
Text Classification (I8)
|
98% |
1159
1.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
2390
44.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2372
43.7 IPS |
|
|
Machine Translation (I8)
|
67% |
3474
63.9 IPS |
