OnePlus OPD2415
Geekbench AI Score
245
Single Precision Score
246
Half Precision Score
510
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 02 2025 02:21 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% |
294
54.7 IPS |
|
|
Image Classification (HP)
|
100% |
297
55.2 IPS |
|
|
Image Classification (Q)
|
99% |
327
61.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
166
2.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
166
2.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
343
5.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
230
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
231
0.27 IPS |
|
|
Pose Estimation (Q)
|
98% |
864
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
126
10.00 IPS |
|
|
Object Detection (HP)
|
100% |
126
10.0 IPS |
|
|
Object Detection (Q)
|
87% |
362
29.0 IPS |
|
|
Face Detection (SP)
|
100% |
353
4.19 IPS |
|
|
Face Detection (HP)
|
100% |
353
4.19 IPS |
|
|
Face Detection (Q)
|
97% |
761
9.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
301
2.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
303
2.34 IPS |
|
|
Depth Estimation (Q)
|
64% |
692
6.28 IPS |
|
|
Style Transfer (SP)
|
100% |
563
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
564
0.72 IPS |
|
|
Style Transfer (Q)
|
98% |
1535
1.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
148
5.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
147
5.44 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
512
19.0 IPS |
|
|
Text Classification (SP)
|
100% |
188
250.4 IPS |
|
|
Text Classification (HP)
|
100% |
189
252.2 IPS |
|
|
Text Classification (Q)
|
91% |
312
419.3 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.76 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (Q)
|
57% |
266
6.49 IPS |
