OnePlus 11
Geekbench AI Score
2152
Single Precision Score
2085
Half Precision Score
2739
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 09:01 PM |
| Views | 2 |
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 | 14.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1646
306.2 IPS |
|
|
Image Classification (HP)
|
100% |
1745
324.5 IPS |
|
|
Image Classification (Q)
|
100% |
2331
433.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1894
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1965
31.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2673
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3061
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2883
3.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
6582
7.81 IPS |
|
|
Object Detection (SP)
|
98% |
1551
123.4 IPS |
|
|
Object Detection (HP)
|
98% |
1433
114.0 IPS |
|
|
Object Detection (Q)
|
83% |
1950
157.5 IPS |
|
|
Face Detection (SP)
|
100% |
3047
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
2950
35.1 IPS |
|
|
Face Detection (Q)
|
95% |
4518
53.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3174
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3115
24.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4640
42.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7567
9.82 IPS |
|
|
Style Transfer (HP)
|
89% |
7285
9.46 IPS |
|
|
Style Transfer (Q)
|
98% |
14179
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1401
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1391
51.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3026
112.1 IPS |
|
|
Text Classification (SP)
|
100% |
846
1.13 KIPS |
|
|
Text Classification (HP)
|
99% |
855
1.14 KIPS |
|
|
Text Classification (Q)
|
88% |
762
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1660
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1383
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
435
15.5 IPS |
