OnePlus 11
Geekbench AI Score
815
Single Precision Score
742
Half Precision Score
1304
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 03 2025 04:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus 11 |
| Model ID | OnePlus CPH2447 |
| Motherboard | kalama |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
632
117.5 IPS |
|
|
Image Classification (HP)
|
100% |
309
57.5 IPS |
|
|
Image Classification (Q)
|
100% |
1509
280.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
575
9.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
584
9.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
1195
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1741
2.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
1547
1.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
2811
3.33 IPS |
|
|
Object Detection (SP)
|
98% |
482
38.4 IPS |
|
|
Object Detection (HP)
|
98% |
525
41.8 IPS |
|
|
Object Detection (Q)
|
83% |
737
59.5 IPS |
|
|
Face Detection (SP)
|
100% |
896
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
879
10.5 IPS |
|
|
Face Detection (Q)
|
95% |
1785
21.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
989
7.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
1171
9.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
2274
20.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3513
4.56 IPS |
|
|
Style Transfer (HP)
|
89% |
2793
3.63 IPS |
|
|
Style Transfer (Q)
|
98% |
4987
6.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
706
26.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
623
23.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1113
41.2 IPS |
|
|
Text Classification (SP)
|
100% |
238
317.4 IPS |
|
|
Text Classification (HP)
|
99% |
298
397.8 IPS |
|
|
Text Classification (Q)
|
88% |
502
677.7 IPS |
|
|
Machine Translation (SP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (Q)
|
50% |
337
12.0 IPS |
