HP HP OmniBook Ultra Laptop 14-fd0xxx
Geekbench ML Score
6547
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 06:28 PM |
| Views | 3 |
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 | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2151
402.5 IPS |
|
|
Image Classification (F16)
|
100% |
2355
440.6 IPS |
|
|
Image Classification (I8)
|
100% |
1777
332.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
4345
72.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
4387
73.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
3563
59.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
43535
52.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
44871
54.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
32013
38.8 IPS |
|
|
Object Detection (F32)
|
100% |
1890
141.1 IPS |
|
|
Object Detection (F16)
|
100% |
1712
127.8 IPS |
|
|
Object Detection (I8)
|
62% |
1657
123.7 IPS |
|
|
Face Detection (F32)
|
100% |
6194
73.6 IPS |
|
|
Face Detection (F16)
|
100% |
6068
72.1 IPS |
|
|
Face Detection (I8)
|
89% |
4765
56.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16923
131.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
16152
125.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
13866
107.5 IPS |
|
|
Style Transfer (F32)
|
100% |
71941
94.6 IPS |
|
|
Style Transfer (F16)
|
100% |
69828
91.9 IPS |
|
|
Style Transfer (I8)
|
98% |
45239
59.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9940
355.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9067
323.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8791
313.9 IPS |
|
|
Text Classification (F32)
|
100% |
2357
3.39 KIPS |
|
|
Text Classification (F16)
|
100% |
2384
3.43 KIPS |
|
|
Text Classification (I8)
|
98% |
1655
2.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
3118
57.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2742
50.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1525
28.1 IPS |
