OnePlus 11
Geekbench AI Score
823
Single Precision Score
775
Half Precision Score
1458
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 05:24 PM |
| Views | 1 |
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% |
782
145.4 IPS |
|
|
Image Classification (HP)
|
100% |
525
97.6 IPS |
|
|
Image Classification (Q)
|
100% |
1273
236.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
618
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
606
9.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
1155
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1780
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1294
1.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
3220
3.82 IPS |
|
|
Object Detection (SP)
|
98% |
350
27.8 IPS |
|
|
Object Detection (HP)
|
98% |
627
49.9 IPS |
|
|
Object Detection (Q)
|
83% |
892
72.1 IPS |
|
|
Face Detection (SP)
|
100% |
1157
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
1122
13.3 IPS |
|
|
Face Detection (Q)
|
95% |
2389
28.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1041
8.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
1028
7.95 IPS |
|
|
Depth Estimation (Q)
|
64% |
2239
20.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3176
4.12 IPS |
|
|
Style Transfer (HP)
|
89% |
2294
2.98 IPS |
|
|
Style Transfer (Q)
|
98% |
6480
8.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
845
31.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
601
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1710
63.3 IPS |
|
|
Text Classification (SP)
|
100% |
287
383.3 IPS |
|
|
Text Classification (HP)
|
99% |
269
359.6 IPS |
|
|
Text Classification (Q)
|
88% |
667
899.7 IPS |
|
|
Machine Translation (SP)
|
100% |
514
8.85 IPS |
|
|
Machine Translation (HP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (Q)
|
50% |
261
9.26 IPS |
