OnePlus OPD2415
Geekbench AI Score
2487
Single Precision Score
2502
Half Precision Score
4475
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 05:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 15.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1605
298.6 IPS |
|
|
Image Classification (HP)
|
100% |
1732
322.1 IPS |
|
|
Image Classification (Q)
|
100% |
4173
776.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1985
32.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5074
82.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4606
5.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
4665
5.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
12393
14.7 IPS |
|
|
Object Detection (SP)
|
98% |
1476
117.5 IPS |
|
|
Object Detection (HP)
|
98% |
1525
121.3 IPS |
|
|
Object Detection (Q)
|
83% |
3922
316.8 IPS |
|
|
Face Detection (SP)
|
100% |
4084
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
4029
47.9 IPS |
|
|
Face Detection (Q)
|
95% |
7828
93.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4108
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4089
31.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
8869
81.2 IPS |
|
|
Style Transfer (SP)
|
89% |
10401
13.5 IPS |
|
|
Style Transfer (HP)
|
89% |
10379
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22452
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2074
76.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2023
74.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5080
188.2 IPS |
|
|
Text Classification (SP)
|
100% |
821
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
848
1.13 KIPS |
|
|
Text Classification (Q)
|
88% |
799
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1344
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
495
17.6 IPS |
