OnePlus 11
Geekbench AI Score
701
Single Precision Score
669
Half Precision Score
1241
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | KD8UXA |
| Upload Date | December 05 2024 07:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus 11 |
| Model ID | OnePlus CPH2451 |
| Motherboard | kalama |
| Governor | schedutil |
| 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 | 14.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
350
65.1 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.5 IPS |
|
|
Image Classification (Q)
|
100% |
721
134.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
401
6.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
588
9.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
1078
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1189
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1190
1.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
3922
4.65 IPS |
|
|
Object Detection (SP)
|
98% |
567
45.1 IPS |
|
|
Object Detection (HP)
|
98% |
396
31.5 IPS |
|
|
Object Detection (Q)
|
83% |
752
60.7 IPS |
|
|
Face Detection (SP)
|
100% |
901
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
908
10.8 IPS |
|
|
Face Detection (Q)
|
95% |
1919
22.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1303
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
998
7.71 IPS |
|
|
Depth Estimation (Q)
|
64% |
2138
19.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3388
4.40 IPS |
|
|
Style Transfer (HP)
|
89% |
3348
4.35 IPS |
|
|
Style Transfer (Q)
|
98% |
6435
8.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
550
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
582
21.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1643
60.9 IPS |
|
|
Text Classification (SP)
|
100% |
279
372.6 IPS |
|
|
Text Classification (HP)
|
99% |
210
280.8 IPS |
|
|
Text Classification (Q)
|
88% |
370
498.9 IPS |
|
|
Machine Translation (SP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (Q)
|
50% |
237
8.42 IPS |
