OnePlus 11
Geekbench AI Score
2244
Single Precision Score
2266
Half Precision Score
3622
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | all3open |
| Upload Date | December 13 2024 03:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus 11 |
| Model ID | OnePlus CPH2451 |
| 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 | 14.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1912
355.6 IPS |
|
|
Image Classification (HP)
|
100% |
1915
356.2 IPS |
|
|
Image Classification (Q)
|
100% |
2940
546.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2022
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2016
32.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3045
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3052
3.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
2905
3.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
6782
8.04 IPS |
|
|
Object Detection (SP)
|
98% |
1756
139.8 IPS |
|
|
Object Detection (HP)
|
98% |
1779
141.5 IPS |
|
|
Object Detection (Q)
|
83% |
2616
211.3 IPS |
|
|
Face Detection (SP)
|
100% |
3288
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
3268
38.8 IPS |
|
|
Face Detection (Q)
|
95% |
6165
73.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3077
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3016
23.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5351
49.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7689
9.98 IPS |
|
|
Style Transfer (HP)
|
89% |
7760
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
14953
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1499
55.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1696
62.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4091
151.6 IPS |
|
|
Text Classification (SP)
|
100% |
783
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
834
1.11 KIPS |
|
|
Text Classification (Q)
|
88% |
1405
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1716
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1658
28.6 IPS |
|
|
Machine Translation (Q)
|
50% |
865
30.7 IPS |
