OnePlus 11
Geekbench AI Score
1547
Single Precision Score
1608
Half Precision Score
2650
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | all3open |
| Upload Date | December 13 2024 03:43 AM |
| Views | 3 |
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% |
735
136.8 IPS |
|
|
Image Classification (HP)
|
100% |
558
103.7 IPS |
|
|
Image Classification (Q)
|
100% |
898
167.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
690
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1249
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1405
1.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
2243
2.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
5684
6.74 IPS |
|
|
Object Detection (SP)
|
98% |
1564
124.4 IPS |
|
|
Object Detection (HP)
|
98% |
1542
122.7 IPS |
|
|
Object Detection (Q)
|
83% |
2221
179.4 IPS |
|
|
Face Detection (SP)
|
100% |
2925
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
2987
35.5 IPS |
|
|
Face Detection (Q)
|
95% |
5109
61.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2688
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2591
20.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4861
44.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6655
8.64 IPS |
|
|
Style Transfer (HP)
|
89% |
6691
8.69 IPS |
|
|
Style Transfer (Q)
|
98% |
13595
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1408
52.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1314
48.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3415
126.5 IPS |
|
|
Text Classification (SP)
|
100% |
693
925.6 IPS |
|
|
Text Classification (HP)
|
99% |
831
1.11 KIPS |
|
|
Text Classification (Q)
|
88% |
1323
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1481
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1538
26.5 IPS |
|
|
Machine Translation (Q)
|
50% |
793
28.2 IPS |
