OnePlus CPH2663
Geekbench AI Score
978
Single Precision Score
1030
Half Precision Score
1367
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 11 2024 10:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus CPH2663 |
| Model ID | OnePlus CPH2663 |
| Motherboard | pineapple |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 3 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.61 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 14.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
491
91.2 IPS |
|
|
Image Classification (HP)
|
100% |
449
83.4 IPS |
|
|
Image Classification (Q)
|
100% |
907
168.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
555
9.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
555
9.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
885
14.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2796
3.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2804
3.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
2415
2.86 IPS |
|
|
Object Detection (SP)
|
98% |
525
41.8 IPS |
|
|
Object Detection (HP)
|
98% |
514
40.9 IPS |
|
|
Object Detection (Q)
|
83% |
898
72.6 IPS |
|
|
Face Detection (SP)
|
100% |
1023
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1035
12.3 IPS |
|
|
Face Detection (Q)
|
95% |
1812
21.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1152
8.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
2534
19.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
1665
15.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6556
8.51 IPS |
|
|
Style Transfer (HP)
|
89% |
6940
9.01 IPS |
|
|
Style Transfer (Q)
|
98% |
12780
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1276
47.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
636
23.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1545
57.2 IPS |
|
|
Text Classification (SP)
|
100% |
174
232.7 IPS |
|
|
Text Classification (HP)
|
99% |
281
375.0 IPS |
|
|
Text Classification (Q)
|
88% |
355
478.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1152
19.8 IPS |
|
|
Machine Translation (Q)
|
50% |
620
22.0 IPS |
