OnePlus 11
Geekbench AI Score
686
Single Precision Score
989
Half Precision Score
850
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | KD8UXA |
| Upload Date | December 05 2024 07:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
633
117.6 IPS |
|
|
Image Classification (HP)
|
100% |
970
180.4 IPS |
|
|
Image Classification (Q)
|
96% |
738
137.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1202
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2032
32.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1093
17.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
935
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1373
1.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
1368
1.60 IPS |
|
|
Object Detection (SP)
|
100% |
481
38.2 IPS |
|
|
Object Detection (HP)
|
100% |
805
63.9 IPS |
|
|
Object Detection (Q)
|
87% |
864
69.4 IPS |
|
|
Face Detection (SP)
|
100% |
2037
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
3169
37.7 IPS |
|
|
Face Detection (Q)
|
97% |
1778
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1412
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2653
20.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2171
20.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3644
4.68 IPS |
|
|
Style Transfer (HP)
|
100% |
8211
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8098
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
437
16.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
396
14.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
389
14.4 IPS |
|
|
Text Classification (SP)
|
100% |
116
154.3 IPS |
|
|
Text Classification (HP)
|
100% |
117
155.8 IPS |
|
|
Text Classification (Q)
|
91% |
149
200.2 IPS |
|
|
Machine Translation (SP)
|
100% |
128
2.20 IPS |
|
|
Machine Translation (HP)
|
100% |
129
2.22 IPS |
|
|
Machine Translation (Q)
|
57% |
115
2.81 IPS |
