OnePlus OPD2415
Geekbench AI Score
2043
Single Precision Score
2048
Half Precision Score
4697
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 14 2025 11:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus OPD2415 |
| Model ID | OnePlus OPD2415 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
213
39.7 IPS |
|
|
Image Classification (HP)
|
100% |
221
41.1 IPS |
|
|
Image Classification (Q)
|
100% |
3756
698.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2198
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1997
32.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5174
84.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4705
5.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
4644
5.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
11853
14.1 IPS |
|
|
Object Detection (SP)
|
98% |
1478
117.6 IPS |
|
|
Object Detection (HP)
|
98% |
1490
118.5 IPS |
|
|
Object Detection (Q)
|
83% |
3931
317.5 IPS |
|
|
Face Detection (SP)
|
100% |
3730
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
3815
45.3 IPS |
|
|
Face Detection (Q)
|
95% |
9264
110.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4084
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4092
31.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
8801
80.6 IPS |
|
|
Style Transfer (SP)
|
89% |
10052
13.0 IPS |
|
|
Style Transfer (HP)
|
89% |
10160
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22446
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2018
74.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2022
74.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5870
217.5 IPS |
|
|
Text Classification (SP)
|
100% |
930
1.24 KIPS |
|
|
Text Classification (HP)
|
99% |
1005
1.34 KIPS |
|
|
Text Classification (Q)
|
88% |
1066
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1360
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1325
22.8 IPS |
|
|
Machine Translation (Q)
|
50% |
505
17.9 IPS |
