OnePlus OPD2415
Geekbench AI Score
2530
Single Precision Score
2543
Half Precision Score
4625
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 05:21 PM |
| Views | 1 |
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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1650
306.9 IPS |
|
|
Image Classification (HP)
|
100% |
1860
345.9 IPS |
|
|
Image Classification (Q)
|
100% |
3735
694.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2220
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4412
71.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4693
5.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
4710
5.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
12557
14.9 IPS |
|
|
Object Detection (SP)
|
98% |
1498
119.2 IPS |
|
|
Object Detection (HP)
|
98% |
1497
119.1 IPS |
|
|
Object Detection (Q)
|
83% |
3982
321.7 IPS |
|
|
Face Detection (SP)
|
100% |
4039
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
3983
47.3 IPS |
|
|
Face Detection (Q)
|
95% |
8133
97.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4097
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4059
31.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
8902
81.5 IPS |
|
|
Style Transfer (SP)
|
89% |
10182
13.2 IPS |
|
|
Style Transfer (HP)
|
89% |
10104
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22893
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2087
77.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2091
77.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6465
239.6 IPS |
|
|
Text Classification (SP)
|
100% |
889
1.19 KIPS |
|
|
Text Classification (HP)
|
99% |
971
1.30 KIPS |
|
|
Text Classification (Q)
|
88% |
970
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1336
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (Q)
|
50% |
523
18.6 IPS |
