HP HP OmniBook Ultra Laptop 14-fd0xxx
Geekbench AI Score
2246
Single Precision Score
2269
Half Precision Score
1801
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | December 07 2025 08:22 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 375 |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | HP HP OmniBook Ultra Laptop 14-fd0xxx |
| Motherboard | HP 8CDD |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 375 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 5.16 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1436
267.0 IPS |
|
|
Image Classification (HP)
|
100% |
1428
265.6 IPS |
|
|
Image Classification (Q)
|
99% |
1211
225.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2298
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1299
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3171
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
3166
3.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
3789
4.44 IPS |
|
|
Object Detection (SP)
|
100% |
1441
114.3 IPS |
|
|
Object Detection (HP)
|
100% |
1521
120.6 IPS |
|
|
Object Detection (Q)
|
85% |
1365
109.9 IPS |
|
|
Face Detection (SP)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3080
36.6 IPS |
|
|
Face Detection (Q)
|
97% |
2778
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2646
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2619
20.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2282
21.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4089
5.26 IPS |
|
|
Style Transfer (HP)
|
100% |
4094
5.26 IPS |
|
|
Style Transfer (Q)
|
98% |
7000
9.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1467
54.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1471
54.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1850
68.5 IPS |
|
|
Text Classification (SP)
|
100% |
1500
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1544
2.06 KIPS |
|
|
Text Classification (Q)
|
92% |
790
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2980
51.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3050
52.5 IPS |
|
|
Machine Translation (Q)
|
58% |
681
16.0 IPS |
