OnePlus CPH2691
Geekbench AI Score
1845
Single Precision Score
1821
Half Precision Score
2826
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 03:26 PM |
| Views | 2 |
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 | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1370
254.7 IPS |
|
|
Image Classification (HP)
|
100% |
1388
258.2 IPS |
|
|
Image Classification (Q)
|
100% |
2344
435.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1792
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1569
25.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2390
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2788
3.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
2867
3.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
6563
7.78 IPS |
|
|
Object Detection (SP)
|
98% |
1296
103.2 IPS |
|
|
Object Detection (HP)
|
98% |
1288
102.5 IPS |
|
|
Object Detection (Q)
|
83% |
1839
148.5 IPS |
|
|
Face Detection (SP)
|
100% |
2659
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
2725
32.4 IPS |
|
|
Face Detection (Q)
|
95% |
4370
52.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2902
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2805
21.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4488
41.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6910
8.97 IPS |
|
|
Style Transfer (HP)
|
89% |
6951
9.02 IPS |
|
|
Style Transfer (Q)
|
98% |
12966
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1417
52.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1415
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3306
122.5 IPS |
|
|
Text Classification (SP)
|
100% |
607
810.6 IPS |
|
|
Text Classification (HP)
|
99% |
614
819.9 IPS |
|
|
Text Classification (Q)
|
88% |
948
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1128
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1083
18.7 IPS |
|
|
Machine Translation (Q)
|
50% |
603
21.4 IPS |
