OnePlus CPH2663
Geekbench AI Score
1077
Single Precision Score
1190
Half Precision Score
2149
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2025 01:10 PM |
| 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 | 14.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1165
216.7 IPS |
|
|
Image Classification (HP)
|
100% |
1173
218.1 IPS |
|
|
Image Classification (Q)
|
100% |
1550
288.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1570
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
921
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2348
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2945
3.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
2128
2.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
6332
7.51 IPS |
|
|
Object Detection (SP)
|
98% |
480
38.2 IPS |
|
|
Object Detection (HP)
|
98% |
501
39.9 IPS |
|
|
Object Detection (Q)
|
83% |
865
69.9 IPS |
|
|
Face Detection (SP)
|
100% |
2667
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
2782
33.1 IPS |
|
|
Face Detection (Q)
|
95% |
4506
53.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1060
8.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
2515
19.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4740
43.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2766
3.59 IPS |
|
|
Style Transfer (HP)
|
89% |
2822
3.66 IPS |
|
|
Style Transfer (Q)
|
98% |
11145
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
673
24.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
675
24.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1233
45.7 IPS |
|
|
Text Classification (SP)
|
100% |
251
334.9 IPS |
|
|
Text Classification (HP)
|
99% |
274
365.5 IPS |
|
|
Text Classification (Q)
|
88% |
512
690.2 IPS |
|
|
Machine Translation (SP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1355
23.3 IPS |
|
|
Machine Translation (Q)
|
50% |
702
24.9 IPS |
