OnePlus OPD2415
Geekbench AI Score
2611
Single Precision Score
4019
Half Precision Score
3512
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Ncard00 |
| Upload Date | July 18 2025 10:55 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 15.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1718
319.6 IPS |
|
|
Image Classification (HP)
|
100% |
2134
396.9 IPS |
|
|
Image Classification (Q)
|
100% |
2003
372.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2894
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5235
84.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5227
85.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12983
15.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
23328
27.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
22736
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
99% |
2023
160.5 IPS |
|
|
Object Detection (Q)
|
85% |
1987
160.0 IPS |
|
|
Face Detection (SP)
|
100% |
5396
64.1 IPS |
|
|
Face Detection (HP)
|
100% |
9914
117.8 IPS |
|
|
Face Detection (Q)
|
97% |
9299
110.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6847
52.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9161
70.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
7047
68.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15687
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35523
45.7 IPS |
|
|
Style Transfer (Q)
|
98% |
34867
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3583
132.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5337
197.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5906
218.9 IPS |
|
|
Text Classification (SP)
|
35% |
69
667.7 IPS |
|
|
Text Classification (HP)
|
35% |
68
617.6 IPS |
|
|
Text Classification (Q)
|
33% |
62
694.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1055
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1784
30.7 IPS |
|
|
Machine Translation (Q)
|
48% |
723
27.8 IPS |
