HP HP OmniBook Ultra Laptop 14-fd0xxx
Geekbench AI Score
6507
Single Precision Score
8537
Half Precision Score
4719
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 12:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 880M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniBook Ultra Laptop 14-fd0xxx |
| Motherboard | HP 8CDD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 w/ Radeon 880M |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2190
407.3 IPS |
|
|
Image Classification (HP)
|
100% |
3224
599.6 IPS |
|
|
Image Classification (Q)
|
100% |
1806
335.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3958
64.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4606
74.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3249
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
38376
44.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
60978
71.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
27996
32.8 IPS |
|
|
Object Detection (SP)
|
100% |
2473
196.2 IPS |
|
|
Object Detection (HP)
|
100% |
2753
218.4 IPS |
|
|
Object Detection (Q)
|
89% |
1800
144.1 IPS |
|
|
Face Detection (SP)
|
100% |
5102
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
9062
107.7 IPS |
|
|
Face Detection (Q)
|
97% |
4413
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13858
106.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19905
153.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
11694
94.3 IPS |
|
|
Style Transfer (SP)
|
100% |
60949
78.4 IPS |
|
|
Style Transfer (HP)
|
100% |
103960
133.6 IPS |
|
|
Style Transfer (Q)
|
98% |
43019
55.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10326
381.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14536
536.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6976
258.3 IPS |
|
|
Text Classification (SP)
|
100% |
1329
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1049
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
948
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2801
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2886
49.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1263
28.2 IPS |
