OnePlus 11
Geekbench AI Score
888
Single Precision Score
1140
Half Precision Score
1137
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 20 2025 12:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus 11 |
| Model ID | OnePlus CPH2449 |
| Motherboard | kalama |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
485
90.1 IPS |
|
|
Image Classification (HP)
|
100% |
514
95.6 IPS |
|
|
Image Classification (Q)
|
96% |
672
125.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1121
18.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1015
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
957
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1394
1.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
1386
1.62 IPS |
|
|
Object Detection (SP)
|
100% |
478
37.9 IPS |
|
|
Object Detection (HP)
|
100% |
696
55.2 IPS |
|
|
Object Detection (Q)
|
87% |
748
60.1 IPS |
|
|
Face Detection (SP)
|
100% |
2194
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
3403
40.4 IPS |
|
|
Face Detection (Q)
|
97% |
3195
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1432
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2750
21.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2257
20.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3669
4.72 IPS |
|
|
Style Transfer (HP)
|
100% |
8254
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8224
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
447
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
375
13.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
370
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
393
525.1 IPS |
|
|
Text Classification (HP)
|
100% |
392
523.2 IPS |
|
|
Text Classification (Q)
|
91% |
558
750.1 IPS |
|
|
Machine Translation (SP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (Q)
|
57% |
418
10.2 IPS |
