OnePlus CPH2663
Geekbench AI Score
2123
Single Precision Score
2067
Half Precision Score
3544
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 07:50 PM |
| Views | 5 |
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% |
1617
300.7 IPS |
|
|
Image Classification (HP)
|
100% |
1509
280.6 IPS |
|
|
Image Classification (Q)
|
100% |
2590
481.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1773
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1799
29.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3178
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3060
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2968
3.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
6957
8.25 IPS |
|
|
Object Detection (SP)
|
98% |
1562
124.3 IPS |
|
|
Object Detection (HP)
|
98% |
1565
124.5 IPS |
|
|
Object Detection (Q)
|
83% |
2546
205.6 IPS |
|
|
Face Detection (SP)
|
100% |
3024
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
2995
35.6 IPS |
|
|
Face Detection (Q)
|
95% |
6032
72.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2853
22.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2830
21.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5434
49.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7795
10.1 IPS |
|
|
Style Transfer (HP)
|
89% |
7784
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15084
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1567
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1539
56.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3870
143.4 IPS |
|
|
Text Classification (SP)
|
100% |
861
1.15 KIPS |
|
|
Text Classification (HP)
|
99% |
761
1.02 KIPS |
|
|
Text Classification (Q)
|
88% |
1315
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1496
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1468
25.3 IPS |
|
|
Machine Translation (Q)
|
50% |
853
30.3 IPS |
