OnePlus 11
Geekbench AI Score
625
Single Precision Score
659
Half Precision Score
979
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 10:15 PM |
| Views | 1 |
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 | 10.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
426
79.2 IPS |
|
|
Image Classification (HP)
|
100% |
338
62.9 IPS |
|
|
Image Classification (Q)
|
100% |
887
164.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
366
5.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
694
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
903
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1266
1.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
1256
1.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
2671
3.17 IPS |
|
|
Object Detection (SP)
|
98% |
342
27.2 IPS |
|
|
Object Detection (HP)
|
98% |
367
29.2 IPS |
|
|
Object Detection (Q)
|
83% |
745
60.2 IPS |
|
|
Face Detection (SP)
|
100% |
896
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
929
11.0 IPS |
|
|
Face Detection (Q)
|
95% |
1742
20.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
878
6.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
1151
8.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
1947
17.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2296
2.98 IPS |
|
|
Style Transfer (HP)
|
89% |
2186
2.84 IPS |
|
|
Style Transfer (Q)
|
98% |
4530
5.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
495
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
515
19.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
986
36.5 IPS |
|
|
Text Classification (SP)
|
100% |
263
351.7 IPS |
|
|
Text Classification (HP)
|
99% |
214
285.7 IPS |
|
|
Text Classification (Q)
|
88% |
250
336.9 IPS |
|
|
Machine Translation (SP)
|
100% |
573
9.87 IPS |
|
|
Machine Translation (HP)
|
100% |
559
9.63 IPS |
|
|
Machine Translation (Q)
|
50% |
135
4.78 IPS |
