OnePlus 11R
Geekbench AI Score
1088
Single Precision Score
1619
Half Precision Score
1357
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 19 2026 02:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
780
145.0 IPS |
|
|
Image Classification (HP)
|
100% |
1071
199.2 IPS |
|
|
Image Classification (Q)
|
99% |
1310
244.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1585
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1590
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6621
7.73 IPS |
|
|
Pose Estimation (HP)
|
99% |
11759
13.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
11215
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
672
53.3 IPS |
|
|
Object Detection (HP)
|
99% |
1315
104.3 IPS |
|
|
Object Detection (Q)
|
85% |
679
54.6 IPS |
|
|
Face Detection (SP)
|
100% |
1762
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
2868
34.1 IPS |
|
|
Face Detection (Q)
|
97% |
2186
26.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3129
24.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
4879
37.7 IPS |
|
|
Depth Estimation (Q)
|
65% |
4685
42.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7280
9.36 IPS |
|
|
Style Transfer (HP)
|
100% |
13314
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
12814
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1272
47.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1958
72.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1688
62.6 IPS |
|
|
Text Classification (SP)
|
35% |
28
271.8 IPS |
|
|
Text Classification (HP)
|
35% |
27
249.7 IPS |
|
|
Text Classification (Q)
|
35% |
25
224.5 IPS |
|
|
Machine Translation (SP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (HP)
|
97% |
350
6.05 IPS |
|
|
Machine Translation (Q)
|
64% |
242
4.97 IPS |
