OnePlus CPH2663
Geekbench AI Score
1275
Single Precision Score
1033
Half Precision Score
1878
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 26 2025 08:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 11.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1442
268.1 IPS |
|
|
Image Classification (HP)
|
100% |
1443
268.4 IPS |
|
|
Image Classification (Q)
|
100% |
2138
397.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
575
9.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
1045
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3009
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
2940
3.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
6318
7.49 IPS |
|
|
Object Detection (SP)
|
98% |
494
39.3 IPS |
|
|
Object Detection (HP)
|
98% |
503
40.0 IPS |
|
|
Object Detection (Q)
|
83% |
1874
151.4 IPS |
|
|
Face Detection (SP)
|
100% |
2773
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
987
11.7 IPS |
|
|
Face Detection (Q)
|
95% |
1887
22.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2533
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2556
19.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2206
20.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2715
3.52 IPS |
|
|
Style Transfer (HP)
|
89% |
2785
3.62 IPS |
|
|
Style Transfer (Q)
|
98% |
11927
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1055
38.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
610
22.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1208
44.7 IPS |
|
|
Text Classification (SP)
|
100% |
283
377.2 IPS |
|
|
Text Classification (HP)
|
99% |
221
294.5 IPS |
|
|
Text Classification (Q)
|
88% |
551
743.5 IPS |
|
|
Machine Translation (SP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (Q)
|
50% |
626
22.2 IPS |
