OnePlus OPD2415
Geekbench AI Score
286
Single Precision Score
266
Half Precision Score
627
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 05 2025 07:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 11.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
290
54.0 IPS |
|
|
Image Classification (HP)
|
100% |
293
54.5 IPS |
|
|
Image Classification (Q)
|
99% |
963
179.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
378
6.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
375
6.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
950
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
485
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
230
0.27 IPS |
|
|
Pose Estimation (Q)
|
98% |
859
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
126
10.0 IPS |
|
|
Object Detection (HP)
|
100% |
126
10.0 IPS |
|
|
Object Detection (Q)
|
87% |
352
28.2 IPS |
|
|
Face Detection (SP)
|
100% |
353
4.19 IPS |
|
|
Face Detection (HP)
|
100% |
354
4.20 IPS |
|
|
Face Detection (Q)
|
97% |
760
9.06 IPS |
|
|
Depth Estimation (SP)
|
100% |
301
2.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
301
2.32 IPS |
|
|
Depth Estimation (Q)
|
64% |
689
6.25 IPS |
|
|
Style Transfer (SP)
|
100% |
564
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
564
0.72 IPS |
|
|
Style Transfer (Q)
|
98% |
1538
1.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
147
5.42 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
146
5.41 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
511
18.9 IPS |
|
|
Text Classification (SP)
|
100% |
188
250.6 IPS |
|
|
Text Classification (HP)
|
100% |
188
251.5 IPS |
|
|
Text Classification (Q)
|
91% |
313
420.7 IPS |
|
|
Machine Translation (SP)
|
100% |
335
5.77 IPS |
|
|
Machine Translation (HP)
|
100% |
340
5.85 IPS |
|
|
Machine Translation (Q)
|
57% |
266
6.51 IPS |
