OnePlus OPD2415
Geekbench AI Score
291
Single Precision Score
269
Half Precision Score
640
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Ncard00 |
| Upload Date | August 05 2025 09:41 PM |
| Views | 6 |
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 | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
313
58.1 IPS |
|
|
Image Classification (HP)
|
100% |
316
58.8 IPS |
|
|
Image Classification (Q)
|
99% |
1088
202.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
408
6.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
398
6.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
1027
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
485
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
230
0.27 IPS |
|
|
Pose Estimation (Q)
|
98% |
862
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
130
10.3 IPS |
|
|
Object Detection (HP)
|
100% |
126
10.0 IPS |
|
|
Object Detection (Q)
|
87% |
352
28.2 IPS |
|
|
Face Detection (SP)
|
100% |
351
4.18 IPS |
|
|
Face Detection (HP)
|
100% |
352
4.18 IPS |
|
|
Face Detection (Q)
|
97% |
762
9.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
300
2.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
301
2.32 IPS |
|
|
Depth Estimation (Q)
|
64% |
693
6.29 IPS |
|
|
Style Transfer (SP)
|
100% |
569
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
561
0.72 IPS |
|
|
Style Transfer (Q)
|
98% |
1541
1.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
146
5.40 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
146
5.40 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
511
18.9 IPS |
|
|
Text Classification (SP)
|
100% |
189
252.0 IPS |
|
|
Text Classification (HP)
|
100% |
188
251.3 IPS |
|
|
Text Classification (Q)
|
91% |
311
417.8 IPS |
|
|
Machine Translation (SP)
|
100% |
335
5.76 IPS |
|
|
Machine Translation (HP)
|
100% |
340
5.85 IPS |
|
|
Machine Translation (Q)
|
57% |
267
6.51 IPS |
