HP HP OmniBook Ultra Laptop 14-fd0xxx
Geekbench AI Score
6983
Single Precision Score
9571
Half Precision Score
5302
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 10:40 PM |
| 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 | 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% |
2881
535.8 IPS |
|
|
Image Classification (HP)
|
100% |
3743
696.0 IPS |
|
|
Image Classification (Q)
|
100% |
2499
464.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4046
65.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4616
74.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3257
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
35883
41.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
61522
71.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
26479
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
2493
197.7 IPS |
|
|
Object Detection (HP)
|
100% |
2844
225.6 IPS |
|
|
Object Detection (Q)
|
87% |
2201
176.8 IPS |
|
|
Face Detection (SP)
|
100% |
5588
66.4 IPS |
|
|
Face Detection (HP)
|
100% |
9786
116.3 IPS |
|
|
Face Detection (Q)
|
97% |
5150
61.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15173
116.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20983
161.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
11608
93.1 IPS |
|
|
Style Transfer (SP)
|
100% |
55210
71.0 IPS |
|
|
Style Transfer (HP)
|
100% |
90512
116.4 IPS |
|
|
Style Transfer (Q)
|
98% |
43026
55.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11860
437.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16603
613.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7212
267.1 IPS |
|
|
Text Classification (SP)
|
100% |
1861
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1500
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2560
44.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3013
51.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1331
25.0 IPS |
