OnePlus CPH2661
Geekbench AI Score
1449
Single Precision Score
1508
Half Precision Score
1962
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 13 2025 01:26 AM |
| Views | 5 |
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% |
1150
214.0 IPS |
|
|
Image Classification (HP)
|
100% |
1194
222.1 IPS |
|
|
Image Classification (Q)
|
100% |
1872
348.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1461
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
854
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2575
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2330
2.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
4756
5.64 IPS |
|
|
Object Detection (SP)
|
98% |
769
61.2 IPS |
|
|
Object Detection (HP)
|
98% |
1089
86.7 IPS |
|
|
Object Detection (Q)
|
83% |
1400
113.1 IPS |
|
|
Face Detection (SP)
|
100% |
1455
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
1915
22.8 IPS |
|
|
Face Detection (Q)
|
95% |
3431
41.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2394
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2646
20.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4493
41.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6029
7.83 IPS |
|
|
Style Transfer (HP)
|
89% |
5293
6.87 IPS |
|
|
Style Transfer (Q)
|
98% |
8224
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1275
47.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1227
45.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2607
96.6 IPS |
|
|
Text Classification (SP)
|
100% |
487
650.5 IPS |
|
|
Text Classification (HP)
|
99% |
436
582.1 IPS |
|
|
Text Classification (Q)
|
88% |
465
627.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
963
16.6 IPS |
|
|
Machine Translation (Q)
|
50% |
517
18.4 IPS |
