OnePlus 11
Geekbench AI Score
180
Single Precision Score
181
Half Precision Score
406
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | kasid |
| Upload Date | August 30 2025 08:56 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
104
19.3 IPS |
|
|
Image Classification (HP)
|
100% |
104
19.3 IPS |
|
|
Image Classification (Q)
|
99% |
261
48.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
136
2.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
136
2.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
281
4.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
184
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
184
0.21 IPS |
|
|
Pose Estimation (Q)
|
98% |
688
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
102
8.07 IPS |
|
|
Object Detection (HP)
|
100% |
102
8.09 IPS |
|
|
Object Detection (Q)
|
87% |
288
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
295
3.50 IPS |
|
|
Face Detection (HP)
|
100% |
297
3.53 IPS |
|
|
Face Detection (Q)
|
97% |
603
7.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
245
1.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
246
1.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
561
5.09 IPS |
|
|
Style Transfer (SP)
|
100% |
447
0.58 IPS |
|
|
Style Transfer (HP)
|
100% |
447
0.57 IPS |
|
|
Style Transfer (Q)
|
98% |
1238
1.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
117
4.31 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
117
4.31 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
400
14.8 IPS |
|
|
Text Classification (SP)
|
100% |
143
190.3 IPS |
|
|
Text Classification (HP)
|
100% |
143
190.8 IPS |
|
|
Text Classification (Q)
|
91% |
237
318.6 IPS |
|
|
Machine Translation (SP)
|
100% |
262
4.52 IPS |
|
|
Machine Translation (HP)
|
100% |
263
4.53 IPS |
|
|
Machine Translation (Q)
|
57% |
212
5.18 IPS |
