OnePlus 11
Geekbench AI Score
122
Single Precision Score
123
Half Precision Score
237
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | KD8UXA |
| Upload Date | December 05 2024 08:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
71
13.2 IPS |
|
|
Image Classification (HP)
|
100% |
49
9.05 IPS |
|
|
Image Classification (Q)
|
99% |
126
23.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
85
1.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
84
1.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
107
1.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
175
0.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
178
0.21 IPS |
|
|
Pose Estimation (Q)
|
98% |
613
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
77
6.07 IPS |
|
|
Object Detection (HP)
|
100% |
77
6.15 IPS |
|
|
Object Detection (Q)
|
87% |
196
15.7 IPS |
|
|
Face Detection (SP)
|
100% |
169
2.01 IPS |
|
|
Face Detection (HP)
|
100% |
171
2.03 IPS |
|
|
Face Detection (Q)
|
97% |
339
4.05 IPS |
|
|
Depth Estimation (SP)
|
100% |
183
1.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
184
1.42 IPS |
|
|
Depth Estimation (Q)
|
64% |
324
2.94 IPS |
|
|
Style Transfer (SP)
|
100% |
345
0.44 IPS |
|
|
Style Transfer (HP)
|
100% |
337
0.43 IPS |
|
|
Style Transfer (Q)
|
98% |
591
0.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60
2.22 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
97
3.60 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
321
11.9 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.8 IPS |
|
|
Text Classification (HP)
|
100% |
117
156.8 IPS |
|
|
Text Classification (Q)
|
91% |
146
196.7 IPS |
|
|
Machine Translation (SP)
|
100% |
128
2.20 IPS |
|
|
Machine Translation (HP)
|
100% |
125
2.16 IPS |
|
|
Machine Translation (Q)
|
57% |
116
2.82 IPS |
