OnePlus OPD2403
Geekbench AI Score
195
Single Precision Score
194
Half Precision Score
421
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 17 2025 10:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus OPD2403 |
| Model ID | OnePlus OPD2403 |
| Motherboard | pineapple |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 11.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
137
25.6 IPS |
|
|
Image Classification (HP)
|
100% |
85
15.8 IPS |
|
|
Image Classification (Q)
|
99% |
211
39.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
149
2.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
150
2.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
292
4.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
213
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
214
0.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
798
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
117
9.28 IPS |
|
|
Object Detection (HP)
|
100% |
117
9.27 IPS |
|
|
Object Detection (Q)
|
87% |
317
25.4 IPS |
|
|
Face Detection (SP)
|
100% |
301
3.57 IPS |
|
|
Face Detection (HP)
|
100% |
305
3.62 IPS |
|
|
Face Detection (Q)
|
97% |
660
7.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
266
2.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
268
2.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
614
5.57 IPS |
|
|
Style Transfer (SP)
|
100% |
444
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
442
0.57 IPS |
|
|
Style Transfer (Q)
|
98% |
1049
1.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
95
3.50 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
136
5.02 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
450
16.7 IPS |
|
|
Text Classification (SP)
|
100% |
169
225.9 IPS |
|
|
Text Classification (HP)
|
100% |
169
225.7 IPS |
|
|
Text Classification (Q)
|
91% |
266
356.9 IPS |
|
|
Machine Translation (SP)
|
100% |
285
4.92 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.92 IPS |
|
|
Machine Translation (Q)
|
57% |
222
5.42 IPS |
