OnePlus CPH2661
Geekbench AI Score
1528
Single Precision Score
1505
Half Precision Score
2098
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 12 2025 05:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2661 |
| Model ID | OnePlus CPH2661 |
| 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 | 7.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1360
252.8 IPS |
|
|
Image Classification (HP)
|
100% |
1155
214.8 IPS |
|
|
Image Classification (Q)
|
100% |
1384
257.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
701
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1793
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2512
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2581
3.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
6507
7.72 IPS |
|
|
Object Detection (SP)
|
98% |
1490
118.6 IPS |
|
|
Object Detection (HP)
|
98% |
1265
100.6 IPS |
|
|
Object Detection (Q)
|
83% |
2278
184.0 IPS |
|
|
Face Detection (SP)
|
100% |
2627
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
924
11.0 IPS |
|
|
Face Detection (Q)
|
95% |
1807
21.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2411
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2793
21.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4759
43.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7050
9.15 IPS |
|
|
Style Transfer (HP)
|
89% |
7016
9.11 IPS |
|
|
Style Transfer (Q)
|
98% |
10778
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1319
48.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
626
23.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1213
44.9 IPS |
|
|
Text Classification (SP)
|
100% |
277
369.8 IPS |
|
|
Text Classification (HP)
|
99% |
647
863.0 IPS |
|
|
Text Classification (Q)
|
88% |
576
777.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1198
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1322
22.8 IPS |
|
|
Machine Translation (Q)
|
50% |
694
24.6 IPS |
