HP HP OmniBook Ultra Laptop 14-fd0xxx
Geekbench AI Score
1985
Single Precision Score
1979
Half Precision Score
1570
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | August 09 2025 03:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | HP HP OmniBook Ultra Laptop 14-fd0xxx |
| Motherboard | HP 8CDD |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 5.09 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1253
233.0 IPS |
|
|
Image Classification (HP)
|
100% |
1230
228.8 IPS |
|
|
Image Classification (Q)
|
99% |
1139
212.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2079
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2081
33.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1155
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2701
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2687
3.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
3334
3.91 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
100% |
1352
107.3 IPS |
|
|
Object Detection (Q)
|
85% |
1255
101.0 IPS |
|
|
Face Detection (SP)
|
100% |
2527
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
2549
30.3 IPS |
|
|
Face Detection (Q)
|
97% |
2438
29.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2354
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2367
18.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2084
19.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3664
4.71 IPS |
|
|
Style Transfer (HP)
|
100% |
3671
4.72 IPS |
|
|
Style Transfer (Q)
|
98% |
5967
7.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1419
52.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1408
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1489
55.2 IPS |
|
|
Text Classification (SP)
|
100% |
1178
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1172
1.56 KIPS |
|
|
Text Classification (Q)
|
92% |
595
799.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2764
47.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2715
46.8 IPS |
|
|
Machine Translation (Q)
|
58% |
618
14.5 IPS |
