OnePlus 11R
Geekbench AI Score
177
Single Precision Score
178
Half Precision Score
415
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 19 2026 03:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus 11R |
| Model ID | OnePlus CPH2487 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 14.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
102
19.0 IPS |
|
|
Image Classification (HP)
|
100% |
103
19.2 IPS |
|
|
Image Classification (Q)
|
99% |
265
49.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
135
2.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
136
2.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
289
4.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
186
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
186
0.22 IPS |
|
|
Pose Estimation (Q)
|
98% |
701
0.82 IPS |
|
|
Object Detection (SP)
|
100% |
101
8.05 IPS |
|
|
Object Detection (HP)
|
100% |
102
8.09 IPS |
|
|
Object Detection (Q)
|
87% |
292
23.4 IPS |
|
|
Face Detection (SP)
|
100% |
274
3.26 IPS |
|
|
Face Detection (HP)
|
100% |
277
3.29 IPS |
|
|
Face Detection (Q)
|
97% |
606
7.22 IPS |
|
|
Depth Estimation (SP)
|
100% |
237
1.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
238
1.83 IPS |
|
|
Depth Estimation (Q)
|
64% |
562
5.10 IPS |
|
|
Style Transfer (SP)
|
100% |
423
0.54 IPS |
|
|
Style Transfer (HP)
|
100% |
423
0.54 IPS |
|
|
Style Transfer (Q)
|
98% |
1126
1.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
117
4.31 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
117
4.30 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
404
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
149
199.5 IPS |
|
|
Text Classification (HP)
|
100% |
148
198.0 IPS |
|
|
Text Classification (Q)
|
91% |
272
365.4 IPS |
|
|
Machine Translation (SP)
|
100% |
256
4.40 IPS |
|
|
Machine Translation (HP)
|
100% |
256
4.42 IPS |
|
|
Machine Translation (Q)
|
57% |
230
5.61 IPS |
