OnePlus 11R
Geekbench AI Score
890
Single Precision Score
968
Half Precision Score
2163
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 24 2025 03:42 PM |
| Views | 2 |
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% |
384
71.4 IPS |
|
|
Image Classification (HP)
|
100% |
452
84.1 IPS |
|
|
Image Classification (Q)
|
100% |
1641
305.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
568
9.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
592
9.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
1827
29.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2252
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2100
2.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
4435
5.26 IPS |
|
|
Object Detection (SP)
|
100% |
367
29.1 IPS |
|
|
Object Detection (HP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (Q)
|
83% |
1493
120.6 IPS |
|
|
Face Detection (SP)
|
100% |
1393
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
1416
16.8 IPS |
|
|
Face Detection (Q)
|
95% |
3207
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1774
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1932
14.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3438
31.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3298
4.28 IPS |
|
|
Style Transfer (HP)
|
89% |
3302
4.29 IPS |
|
|
Style Transfer (Q)
|
98% |
9203
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1037
38.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1029
38.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2296
85.1 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.9 IPS |
|
|
Text Classification (HP)
|
100% |
450
600.5 IPS |
|
|
Text Classification (Q)
|
88% |
845
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (Q)
|
50% |
574
20.4 IPS |
