OnePlus 11
Geekbench AI Score
552
Single Precision Score
569
Half Precision Score
1087
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | kasid |
| Upload Date | August 30 2025 08:31 AM |
| Views | 5 |
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% |
405
75.2 IPS |
|
|
Image Classification (HP)
|
100% |
229
42.6 IPS |
|
|
Image Classification (Q)
|
100% |
855
159.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
363
5.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
449
7.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
847
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1085
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
985
1.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
2252
2.67 IPS |
|
|
Object Detection (SP)
|
98% |
313
24.9 IPS |
|
|
Object Detection (HP)
|
98% |
382
30.4 IPS |
|
|
Object Detection (Q)
|
83% |
760
61.4 IPS |
|
|
Face Detection (SP)
|
100% |
778
9.24 IPS |
|
|
Face Detection (HP)
|
100% |
739
8.78 IPS |
|
|
Face Detection (Q)
|
95% |
1530
18.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
768
5.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
1020
7.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
1691
15.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1994
2.59 IPS |
|
|
Style Transfer (HP)
|
89% |
1907
2.48 IPS |
|
|
Style Transfer (Q)
|
98% |
4523
5.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
455
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
512
18.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1245
46.1 IPS |
|
|
Text Classification (SP)
|
100% |
208
277.5 IPS |
|
|
Text Classification (HP)
|
99% |
211
282.1 IPS |
|
|
Text Classification (Q)
|
88% |
398
536.5 IPS |
|
|
Machine Translation (SP)
|
100% |
475
8.17 IPS |
|
|
Machine Translation (HP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (Q)
|
50% |
323
11.5 IPS |
