OnePlus CPH2691
Geekbench AI Score
2208
Single Precision Score
2237
Half Precision Score
3577
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 03:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus CPH2691 |
| Model ID | OnePlus CPH2691 |
| 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 | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1425
265.0 IPS |
|
|
Image Classification (HP)
|
100% |
1736
322.8 IPS |
|
|
Image Classification (Q)
|
100% |
3181
591.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2204
35.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3407
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3584
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
3349
3.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
7896
9.36 IPS |
|
|
Object Detection (SP)
|
98% |
1486
118.3 IPS |
|
|
Object Detection (HP)
|
98% |
1687
134.3 IPS |
|
|
Object Detection (Q)
|
83% |
2223
179.5 IPS |
|
|
Face Detection (SP)
|
100% |
3141
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
3160
37.6 IPS |
|
|
Face Detection (Q)
|
95% |
5165
61.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3341
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3398
26.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5362
49.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8089
10.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8032
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15382
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1665
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1939
71.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3963
146.8 IPS |
|
|
Text Classification (SP)
|
100% |
678
904.7 IPS |
|
|
Text Classification (HP)
|
99% |
682
909.8 IPS |
|
|
Text Classification (Q)
|
88% |
1559
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1650
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1276
22.0 IPS |
|
|
Machine Translation (Q)
|
50% |
686
24.4 IPS |
