HP HP OmniBook Ultra Laptop 14-fd0xxx
Geekbench AI Score
6600
Single Precision Score
9188
Half Precision Score
5184
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 14 2025 07:18 PM |
| Views | 6 |
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 | Gebalanceerd |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2509
466.6 IPS |
|
|
Image Classification (HP)
|
100% |
3761
699.4 IPS |
|
|
Image Classification (Q)
|
100% |
2330
433.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4166
67.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4895
79.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3449
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37164
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
61905
72.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
27600
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
2294
181.9 IPS |
|
|
Object Detection (HP)
|
100% |
3145
249.4 IPS |
|
|
Object Detection (Q)
|
87% |
2299
184.6 IPS |
|
|
Face Detection (SP)
|
100% |
5996
71.3 IPS |
|
|
Face Detection (HP)
|
100% |
9714
115.4 IPS |
|
|
Face Detection (Q)
|
97% |
5047
60.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15362
118.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22487
173.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
13374
107.3 IPS |
|
|
Style Transfer (SP)
|
100% |
62274
80.1 IPS |
|
|
Style Transfer (HP)
|
100% |
103535
133.1 IPS |
|
|
Style Transfer (Q)
|
98% |
44084
56.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12606
465.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17108
631.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8301
307.4 IPS |
|
|
Text Classification (SP)
|
100% |
920
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
915
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
811
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2647
45.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3381
58.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1373
25.8 IPS |
