HP HP OmniBook Ultra Laptop 14-fd0xxx
Geekbench AI Score
6803
Single Precision Score
9146
Half Precision Score
5040
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 11:17 PM |
| Views | 2 |
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 | 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% |
2453
456.1 IPS |
|
|
Image Classification (HP)
|
100% |
3837
713.6 IPS |
|
|
Image Classification (Q)
|
100% |
2207
410.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4290
69.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5007
81.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3505
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
39590
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
67713
79.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
29273
34.3 IPS |
|
|
Object Detection (SP)
|
100% |
2375
188.4 IPS |
|
|
Object Detection (HP)
|
100% |
3028
240.2 IPS |
|
|
Object Detection (Q)
|
89% |
1985
158.9 IPS |
|
|
Face Detection (SP)
|
100% |
5778
68.7 IPS |
|
|
Face Detection (HP)
|
100% |
9320
110.7 IPS |
|
|
Face Detection (Q)
|
97% |
4551
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17156
132.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23933
184.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
11590
93.4 IPS |
|
|
Style Transfer (SP)
|
100% |
65241
83.9 IPS |
|
|
Style Transfer (HP)
|
100% |
103801
133.4 IPS |
|
|
Style Transfer (Q)
|
98% |
45143
58.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12588
464.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18149
670.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8302
307.4 IPS |
|
|
Text Classification (SP)
|
100% |
1654
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1714
2.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1147
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1595
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1444
24.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1039
23.2 IPS |
