HP HP OmniBook Ultra Laptop 14-fd0xxx
Geekbench ML Score
3601
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 06:24 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% |
1306
244.4 IPS |
|
|
Image Classification (F16)
|
100% |
1319
246.8 IPS |
|
|
Image Classification (I8)
|
99% |
3682
689.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
918
15.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
976
16.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2795
46.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
7713
9.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
7701
9.33 IPS |
|
|
Pose Estimation (I8)
|
100% |
26487
32.1 IPS |
|
|
Object Detection (F32)
|
100% |
1481
110.6 IPS |
|
|
Object Detection (F16)
|
100% |
1503
112.2 IPS |
|
|
Object Detection (I8)
|
62% |
1803
134.6 IPS |
|
|
Face Detection (F32)
|
100% |
3320
39.5 IPS |
|
|
Face Detection (F16)
|
100% |
3321
39.5 IPS |
|
|
Face Detection (I8)
|
89% |
5842
69.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6473
50.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
6449
50.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
15799
122.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16222
21.3 IPS |
|
|
Style Transfer (F16)
|
100% |
16343
21.5 IPS |
|
|
Style Transfer (I8)
|
98% |
29006
38.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2733
97.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2838
101.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4384
156.6 IPS |
|
|
Text Classification (F32)
|
100% |
1387
1.99 KIPS |
|
|
Text Classification (F16)
|
100% |
1402
2.02 KIPS |
|
|
Text Classification (I8)
|
98% |
1179
1.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
2404
44.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2418
44.5 IPS |
|
|
Machine Translation (I8)
|
67% |
3332
61.3 IPS |
