OnePlus 11
Geekbench AI Score
582
Single Precision Score
532
Half Precision Score
1199
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 09:48 PM |
| Views | 1 |
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 CPH2447 |
| 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 | 7.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
630
117.1 IPS |
|
|
Image Classification (HP)
|
100% |
345
64.2 IPS |
|
|
Image Classification (Q)
|
100% |
729
135.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
366
5.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
289
4.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
1004
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
988
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1004
1.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
2969
3.52 IPS |
|
|
Object Detection (SP)
|
98% |
437
34.8 IPS |
|
|
Object Detection (HP)
|
98% |
273
21.7 IPS |
|
|
Object Detection (Q)
|
83% |
873
70.5 IPS |
|
|
Face Detection (SP)
|
100% |
698
8.29 IPS |
|
|
Face Detection (HP)
|
100% |
698
8.29 IPS |
|
|
Face Detection (Q)
|
95% |
1585
18.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
910
7.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
903
6.98 IPS |
|
|
Depth Estimation (Q)
|
64% |
2111
19.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1985
2.58 IPS |
|
|
Style Transfer (HP)
|
89% |
2023
2.63 IPS |
|
|
Style Transfer (Q)
|
98% |
5826
7.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
490
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
432
16.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1336
49.5 IPS |
|
|
Text Classification (SP)
|
100% |
232
309.5 IPS |
|
|
Text Classification (HP)
|
99% |
216
288.5 IPS |
|
|
Text Classification (Q)
|
88% |
428
576.8 IPS |
|
|
Machine Translation (SP)
|
100% |
313
5.39 IPS |
|
|
Machine Translation (HP)
|
100% |
562
9.68 IPS |
|
|
Machine Translation (Q)
|
50% |
292
10.4 IPS |
