OnePlus 11
Geekbench AI Score
786
Single Precision Score
710
Half Precision Score
1411
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | all3open |
| Upload Date | March 17 2025 09:08 AM |
| Views | 14 |
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% |
699
130.1 IPS |
|
|
Image Classification (HP)
|
100% |
360
67.0 IPS |
|
|
Image Classification (Q)
|
100% |
1105
205.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
694
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
442
7.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
950
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1486
1.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
1468
1.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
2988
3.54 IPS |
|
|
Object Detection (SP)
|
98% |
400
31.9 IPS |
|
|
Object Detection (HP)
|
98% |
463
36.8 IPS |
|
|
Object Detection (Q)
|
83% |
1012
81.7 IPS |
|
|
Face Detection (SP)
|
100% |
733
8.71 IPS |
|
|
Face Detection (HP)
|
100% |
769
9.14 IPS |
|
|
Face Detection (Q)
|
95% |
2064
24.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1069
8.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
1173
9.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
2214
20.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2944
3.82 IPS |
|
|
Style Transfer (HP)
|
89% |
2488
3.23 IPS |
|
|
Style Transfer (Q)
|
98% |
6002
7.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
601
22.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
671
24.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1456
54.0 IPS |
|
|
Text Classification (SP)
|
100% |
341
455.3 IPS |
|
|
Text Classification (HP)
|
99% |
281
375.4 IPS |
|
|
Text Classification (Q)
|
88% |
602
812.5 IPS |
|
|
Machine Translation (SP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (Q)
|
50% |
411
14.6 IPS |
