OnePlus 11
Geekbench AI Score
482
Single Precision Score
482
Half Precision Score
1075
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | all3open |
| Upload Date | February 17 2025 05:59 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
309
57.6 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.2 IPS |
|
|
Image Classification (Q)
|
99% |
751
140.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
375
6.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
769
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
505
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
498
0.58 IPS |
|
|
Pose Estimation (Q)
|
98% |
1958
2.29 IPS |
|
|
Object Detection (SP)
|
100% |
283
22.4 IPS |
|
|
Object Detection (HP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (Q)
|
87% |
799
64.0 IPS |
|
|
Face Detection (SP)
|
100% |
694
8.25 IPS |
|
|
Face Detection (HP)
|
100% |
705
8.38 IPS |
|
|
Face Detection (Q)
|
97% |
1561
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
615
4.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
617
4.75 IPS |
|
|
Depth Estimation (Q)
|
64% |
1468
13.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1007
1.29 IPS |
|
|
Style Transfer (HP)
|
100% |
1004
1.29 IPS |
|
|
Style Transfer (Q)
|
98% |
2454
3.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
318
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
320
11.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1142
42.3 IPS |
|
|
Text Classification (SP)
|
100% |
447
596.0 IPS |
|
|
Text Classification (HP)
|
100% |
448
598.4 IPS |
|
|
Text Classification (Q)
|
91% |
684
920.0 IPS |
|
|
Machine Translation (SP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
665
11.4 IPS |
|
|
Machine Translation (Q)
|
57% |
521
12.7 IPS |
