HP HP OmniBook Ultra Laptop 14-fd0xxx
Geekbench ML Score
6502
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 06:30 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 | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2000
374.3 IPS |
|
|
Image Classification (F16)
|
100% |
2357
441.0 IPS |
|
|
Image Classification (I8)
|
100% |
1643
307.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
4362
72.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
4358
72.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3639
60.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
45716
55.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
44216
53.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
33021
40.0 IPS |
|
|
Object Detection (F32)
|
100% |
1753
130.9 IPS |
|
|
Object Detection (F16)
|
100% |
1672
124.8 IPS |
|
|
Object Detection (I8)
|
62% |
1532
114.4 IPS |
|
|
Face Detection (F32)
|
100% |
6061
72.1 IPS |
|
|
Face Detection (F16)
|
100% |
6219
73.9 IPS |
|
|
Face Detection (I8)
|
89% |
4755
56.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16108
124.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
15955
123.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
14853
115.2 IPS |
|
|
Style Transfer (F32)
|
100% |
68506
90.1 IPS |
|
|
Style Transfer (F16)
|
100% |
75873
99.8 IPS |
|
|
Style Transfer (I8)
|
98% |
47654
62.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10622
379.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10245
365.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7606
271.6 IPS |
|
|
Text Classification (F32)
|
100% |
2348
3.38 KIPS |
|
|
Text Classification (F16)
|
100% |
2353
3.38 KIPS |
|
|
Text Classification (I8)
|
98% |
1681
2.42 KIPS |
|
|
Machine Translation (F32)
|
100% |
2841
52.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2622
48.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1582
29.1 IPS |
