HP HP OmniBook Ultra Laptop 14-fd0xxx
Geekbench ML Score
6399
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 06:29 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% |
2064
386.1 IPS |
|
|
Image Classification (F16)
|
100% |
2264
423.7 IPS |
|
|
Image Classification (I8)
|
100% |
1834
343.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
4349
72.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
4371
73.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
3608
60.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
44364
53.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
45824
55.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
32779
39.7 IPS |
|
|
Object Detection (F32)
|
100% |
1654
123.5 IPS |
|
|
Object Detection (F16)
|
100% |
1676
125.1 IPS |
|
|
Object Detection (I8)
|
62% |
1640
122.4 IPS |
|
|
Face Detection (F32)
|
100% |
6052
72.0 IPS |
|
|
Face Detection (F16)
|
100% |
6059
72.0 IPS |
|
|
Face Detection (I8)
|
89% |
4795
57.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
15936
123.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
15466
119.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
13053
101.2 IPS |
|
|
Style Transfer (F32)
|
100% |
61203
80.5 IPS |
|
|
Style Transfer (F16)
|
100% |
69779
91.8 IPS |
|
|
Style Transfer (I8)
|
98% |
49777
65.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9738
347.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9263
330.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7352
262.6 IPS |
|
|
Text Classification (F32)
|
100% |
2332
3.35 KIPS |
|
|
Text Classification (F16)
|
100% |
2369
3.41 KIPS |
|
|
Text Classification (I8)
|
98% |
1759
2.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
2555
47.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2731
50.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1588
29.2 IPS |
