OnePlus 11
Geekbench AI Score
732
Single Precision Score
704
Half Precision Score
1103
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | all3open |
| Upload Date | February 07 2025 09:44 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus 11 |
| Model ID | OnePlus CPH2451 |
| 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% |
399
74.2 IPS |
|
|
Image Classification (HP)
|
100% |
361
67.2 IPS |
|
|
Image Classification (Q)
|
100% |
921
171.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
587
9.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
924
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1304
1.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1297
1.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
2871
3.40 IPS |
|
|
Object Detection (SP)
|
98% |
372
29.6 IPS |
|
|
Object Detection (HP)
|
98% |
358
28.5 IPS |
|
|
Object Detection (Q)
|
83% |
787
63.6 IPS |
|
|
Face Detection (SP)
|
100% |
939
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
924
11.0 IPS |
|
|
Face Detection (Q)
|
95% |
1789
21.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1175
9.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
1179
9.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
2058
18.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2727
3.54 IPS |
|
|
Style Transfer (HP)
|
89% |
2433
3.16 IPS |
|
|
Style Transfer (Q)
|
98% |
5568
7.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
608
22.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
598
22.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1276
47.3 IPS |
|
|
Text Classification (SP)
|
100% |
276
367.8 IPS |
|
|
Text Classification (HP)
|
99% |
312
416.2 IPS |
|
|
Text Classification (Q)
|
88% |
324
437.2 IPS |
|
|
Machine Translation (SP)
|
100% |
774
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
577
9.95 IPS |
|
|
Machine Translation (Q)
|
50% |
164
5.81 IPS |
