OnePlus 11
Geekbench AI Score
2149
Single Precision Score
2217
Half Precision Score
3496
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | maxime72 |
| Upload Date | May 09 2025 12:33 PM |
| Views | 3 |
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% |
1299
241.6 IPS |
|
|
Image Classification (HP)
|
100% |
1526
283.8 IPS |
|
|
Image Classification (Q)
|
100% |
2543
473.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2550
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2617
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2890
3.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
6776
8.04 IPS |
|
|
Object Detection (SP)
|
98% |
1617
128.7 IPS |
|
|
Object Detection (HP)
|
98% |
1781
141.7 IPS |
|
|
Object Detection (Q)
|
83% |
2611
210.9 IPS |
|
|
Face Detection (SP)
|
100% |
3277
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
3258
38.7 IPS |
|
|
Face Detection (Q)
|
95% |
5736
68.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3140
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3047
23.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5463
50.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7369
9.57 IPS |
|
|
Style Transfer (HP)
|
89% |
7396
9.60 IPS |
|
|
Style Transfer (Q)
|
98% |
15162
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1653
61.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1714
63.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4075
151.0 IPS |
|
|
Text Classification (SP)
|
100% |
894
1.19 KIPS |
|
|
Text Classification (HP)
|
99% |
888
1.18 KIPS |
|
|
Text Classification (Q)
|
88% |
1512
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1748
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1670
28.8 IPS |
|
|
Machine Translation (Q)
|
50% |
814
28.9 IPS |
