OnePlus 11R
Geekbench AI Score
378
Single Precision Score
416
Half Precision Score
844
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 07:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
171
31.7 IPS |
|
|
Image Classification (HP)
|
100% |
180
33.5 IPS |
|
|
Image Classification (Q)
|
100% |
602
112.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
232
3.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
228
3.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
647
10.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
870
1.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
922
1.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
2011
2.38 IPS |
|
|
Object Detection (SP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
180
14.3 IPS |
|
|
Object Detection (Q)
|
83% |
612
49.5 IPS |
|
|
Face Detection (SP)
|
100% |
558
6.64 IPS |
|
|
Face Detection (HP)
|
100% |
583
6.92 IPS |
|
|
Face Detection (Q)
|
95% |
1318
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
607
4.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
721
5.56 IPS |
|
|
Depth Estimation (Q)
|
64% |
1570
14.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1555
2.02 IPS |
|
|
Style Transfer (HP)
|
89% |
1469
1.91 IPS |
|
|
Style Transfer (Q)
|
98% |
3922
5.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
439
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
423
15.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
879
32.6 IPS |
|
|
Text Classification (SP)
|
100% |
144
192.8 IPS |
|
|
Text Classification (HP)
|
100% |
232
309.5 IPS |
|
|
Text Classification (Q)
|
88% |
327
441.0 IPS |
|
|
Machine Translation (SP)
|
100% |
306
5.28 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (Q)
|
50% |
165
5.84 IPS |
