OnePlus CPH2609
Geekbench AI Score
759
Single Precision Score
652
Half Precision Score
1257
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 02:20 AM |
| Views | 1 |
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% |
669
124.5 IPS |
|
|
Image Classification (HP)
|
100% |
488
90.8 IPS |
|
|
Image Classification (Q)
|
100% |
923
171.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
595
9.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
502
8.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
1042
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1145
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
955
1.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
2637
3.13 IPS |
|
|
Object Detection (SP)
|
98% |
506
40.3 IPS |
|
|
Object Detection (HP)
|
98% |
458
36.4 IPS |
|
|
Object Detection (Q)
|
83% |
882
71.2 IPS |
|
|
Face Detection (SP)
|
100% |
897
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
675
8.02 IPS |
|
|
Face Detection (Q)
|
95% |
1960
23.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
905
6.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
998
7.71 IPS |
|
|
Depth Estimation (Q)
|
64% |
2065
18.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1822
2.37 IPS |
|
|
Style Transfer (HP)
|
89% |
1846
2.40 IPS |
|
|
Style Transfer (Q)
|
98% |
4767
6.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
676
24.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
603
22.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1338
49.6 IPS |
|
|
Text Classification (SP)
|
100% |
349
466.2 IPS |
|
|
Text Classification (HP)
|
99% |
309
413.0 IPS |
|
|
Text Classification (Q)
|
88% |
484
652.4 IPS |
|
|
Machine Translation (SP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
565
9.73 IPS |
|
|
Machine Translation (Q)
|
50% |
354
12.5 IPS |
