HP HP OmniBook Ultra Laptop 14-fd0xxx
Geekbench AI Score
1441
Single Precision Score
789
Half Precision Score
2475
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 11:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| 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% |
707
131.5 IPS |
|
|
Image Classification (HP)
|
100% |
260
48.4 IPS |
|
|
Image Classification (Q)
|
99% |
1777
331.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
577
9.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
397
6.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
1528
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3908
4.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3403
3.97 IPS |
|
|
Pose Estimation (Q)
|
95% |
15431
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
792
62.8 IPS |
|
|
Object Detection (HP)
|
100% |
324
25.7 IPS |
|
|
Object Detection (Q)
|
88% |
914
73.2 IPS |
|
|
Face Detection (SP)
|
100% |
1936
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
652
7.75 IPS |
|
|
Face Detection (Q)
|
97% |
2909
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3041
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1259
9.70 IPS |
|
|
Depth Estimation (Q)
|
77% |
3318
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7897
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8358
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17009
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1012
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
975
36.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1422
52.6 IPS |
|
|
Text Classification (SP)
|
100% |
728
971.7 IPS |
|
|
Text Classification (HP)
|
100% |
365
487.1 IPS |
|
|
Text Classification (Q)
|
97% |
765
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
896
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
340
5.86 IPS |
|
|
Machine Translation (Q)
|
60% |
1266
28.2 IPS |
