OnePlus 11
Geekbench AI Score
1860
Single Precision Score
1849
Half Precision Score
3072
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 20 2025 12:01 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 CPH2449 |
| 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% |
711
132.3 IPS |
|
|
Image Classification (HP)
|
100% |
712
132.3 IPS |
|
|
Image Classification (Q)
|
100% |
2296
427.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2084
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2986
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2994
3.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
6903
8.19 IPS |
|
|
Object Detection (SP)
|
98% |
1474
117.3 IPS |
|
|
Object Detection (HP)
|
98% |
1479
117.7 IPS |
|
|
Object Detection (Q)
|
83% |
2085
168.4 IPS |
|
|
Face Detection (SP)
|
100% |
2934
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
3010
35.8 IPS |
|
|
Face Detection (Q)
|
95% |
4450
53.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2982
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2893
22.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4936
45.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7225
9.38 IPS |
|
|
Style Transfer (HP)
|
89% |
7262
9.43 IPS |
|
|
Style Transfer (Q)
|
98% |
14618
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1387
51.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3874
143.6 IPS |
|
|
Text Classification (SP)
|
100% |
739
985.8 IPS |
|
|
Text Classification (HP)
|
99% |
727
970.8 IPS |
|
|
Text Classification (Q)
|
88% |
1174
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1542
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1527
26.3 IPS |
|
|
Machine Translation (Q)
|
50% |
745
26.4 IPS |
