OnePlus CPH2609
Geekbench AI Score
703
Single Precision Score
689
Half Precision Score
1355
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 06:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus CPH2609 |
| Model ID | OnePlus CPH2609 |
| Motherboard | kalama |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
408
75.9 IPS |
|
|
Image Classification (HP)
|
100% |
405
75.2 IPS |
|
|
Image Classification (Q)
|
100% |
1052
195.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
425
6.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
478
7.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
1412
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1630
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1384
1.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
3068
3.64 IPS |
|
|
Object Detection (SP)
|
98% |
408
32.5 IPS |
|
|
Object Detection (HP)
|
98% |
389
30.9 IPS |
|
|
Object Detection (Q)
|
83% |
989
79.9 IPS |
|
|
Face Detection (SP)
|
100% |
915
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
902
10.7 IPS |
|
|
Face Detection (Q)
|
95% |
1891
22.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1174
9.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
966
7.47 IPS |
|
|
Depth Estimation (Q)
|
64% |
2133
19.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2483
3.22 IPS |
|
|
Style Transfer (HP)
|
89% |
2584
3.35 IPS |
|
|
Style Transfer (Q)
|
98% |
6155
7.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
576
21.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
602
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1333
49.4 IPS |
|
|
Text Classification (SP)
|
100% |
247
329.7 IPS |
|
|
Text Classification (HP)
|
99% |
231
308.3 IPS |
|
|
Text Classification (Q)
|
88% |
492
664.1 IPS |
|
|
Machine Translation (SP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
749
12.9 IPS |
|
|
Machine Translation (Q)
|
50% |
285
10.1 IPS |
