OnePlus OPD2403
Geekbench AI Score
320
Single Precision Score
320
Half Precision Score
721
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 21 2025 11:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
153
28.5 IPS |
|
|
Image Classification (HP)
|
100% |
189
35.1 IPS |
|
|
Image Classification (Q)
|
99% |
491
91.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
247
4.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
250
4.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
494
8.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
347
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
346
0.40 IPS |
|
|
Pose Estimation (Q)
|
98% |
1311
1.54 IPS |
|
|
Object Detection (SP)
|
100% |
195
15.5 IPS |
|
|
Object Detection (HP)
|
100% |
195
15.5 IPS |
|
|
Object Detection (Q)
|
87% |
527
42.2 IPS |
|
|
Face Detection (SP)
|
100% |
488
5.79 IPS |
|
|
Face Detection (HP)
|
100% |
495
5.88 IPS |
|
|
Face Detection (Q)
|
97% |
1122
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
432
3.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
433
3.34 IPS |
|
|
Depth Estimation (Q)
|
64% |
968
8.79 IPS |
|
|
Style Transfer (SP)
|
100% |
709
0.91 IPS |
|
|
Style Transfer (HP)
|
100% |
707
0.91 IPS |
|
|
Style Transfer (Q)
|
98% |
1682
2.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
223
8.23 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
222
8.21 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
759
28.1 IPS |
|
|
Text Classification (SP)
|
100% |
285
381.1 IPS |
|
|
Text Classification (HP)
|
100% |
288
383.9 IPS |
|
|
Text Classification (Q)
|
91% |
454
610.3 IPS |
|
|
Machine Translation (SP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (HP)
|
100% |
373
6.42 IPS |
|
|
Machine Translation (Q)
|
57% |
361
8.82 IPS |
