OnePlus OPD2415
Geekbench AI Score
246
Single Precision Score
247
Half Precision Score
509
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 09:46 AM |
| Views | 5 |
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% |
299
55.6 IPS |
|
|
Image Classification (HP)
|
100% |
303
56.4 IPS |
|
|
Image Classification (Q)
|
99% |
335
62.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
166
2.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
349
5.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
233
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
231
0.27 IPS |
|
|
Pose Estimation (Q)
|
98% |
868
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
127
10.1 IPS |
|
|
Object Detection (HP)
|
100% |
127
10.1 IPS |
|
|
Object Detection (Q)
|
87% |
331
26.6 IPS |
|
|
Face Detection (SP)
|
100% |
351
4.17 IPS |
|
|
Face Detection (HP)
|
100% |
354
4.20 IPS |
|
|
Face Detection (Q)
|
97% |
764
9.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
300
2.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
303
2.33 IPS |
|
|
Depth Estimation (Q)
|
64% |
691
6.27 IPS |
|
|
Style Transfer (SP)
|
100% |
563
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
563
0.72 IPS |
|
|
Style Transfer (Q)
|
98% |
1541
1.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
148
5.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
148
5.46 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
514
19.1 IPS |
|
|
Text Classification (SP)
|
100% |
193
258.2 IPS |
|
|
Text Classification (HP)
|
100% |
189
252.7 IPS |
|
|
Text Classification (Q)
|
91% |
315
422.7 IPS |
|
|
Machine Translation (SP)
|
100% |
335
5.76 IPS |
|
|
Machine Translation (HP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (Q)
|
57% |
267
6.52 IPS |
