OnePlus 11R
Geekbench AI Score
367
Single Precision Score
378
Half Precision Score
826
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 02:58 AM |
| Views | 4 |
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% |
161
29.9 IPS |
|
|
Image Classification (HP)
|
100% |
179
33.2 IPS |
|
|
Image Classification (Q)
|
100% |
596
110.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
196
3.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
202
3.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
594
9.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
800
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
826
0.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
1720
2.04 IPS |
|
|
Object Detection (SP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (HP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (Q)
|
83% |
602
48.6 IPS |
|
|
Face Detection (SP)
|
100% |
491
5.83 IPS |
|
|
Face Detection (HP)
|
100% |
517
6.14 IPS |
|
|
Face Detection (Q)
|
95% |
1232
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
687
5.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
660
5.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
1291
11.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1311
1.70 IPS |
|
|
Style Transfer (HP)
|
89% |
1341
1.74 IPS |
|
|
Style Transfer (Q)
|
98% |
3515
4.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
397
14.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
405
14.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
863
32.0 IPS |
|
|
Text Classification (SP)
|
100% |
179
238.6 IPS |
|
|
Text Classification (HP)
|
100% |
179
239.4 IPS |
|
|
Text Classification (Q)
|
88% |
292
393.3 IPS |
|
|
Machine Translation (SP)
|
100% |
352
6.07 IPS |
|
|
Machine Translation (HP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (Q)
|
50% |
287
10.2 IPS |
