OnePlus OPD2403
Geekbench AI Score
277
Single Precision Score
277
Half Precision Score
585
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 18 2025 10:26 PM |
| Views | 3 |
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% |
252
46.8 IPS |
|
|
Image Classification (HP)
|
100% |
245
45.5 IPS |
|
|
Image Classification (Q)
|
99% |
383
71.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
204
3.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
205
3.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
408
6.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
262
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
263
0.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
997
1.17 IPS |
|
|
Object Detection (SP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (HP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (Q)
|
87% |
410
32.9 IPS |
|
|
Face Detection (SP)
|
100% |
445
5.29 IPS |
|
|
Face Detection (HP)
|
100% |
446
5.30 IPS |
|
|
Face Detection (Q)
|
97% |
859
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
356
2.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
356
2.74 IPS |
|
|
Depth Estimation (Q)
|
64% |
808
7.33 IPS |
|
|
Style Transfer (SP)
|
100% |
633
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
631
0.81 IPS |
|
|
Style Transfer (Q)
|
98% |
1757
2.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
169
6.26 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
170
6.26 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
581
21.5 IPS |
|
|
Text Classification (SP)
|
100% |
210
280.8 IPS |
|
|
Text Classification (HP)
|
100% |
210
280.9 IPS |
|
|
Text Classification (Q)
|
91% |
343
460.6 IPS |
|
|
Machine Translation (SP)
|
100% |
373
6.43 IPS |
|
|
Machine Translation (HP)
|
100% |
375
6.45 IPS |
|
|
Machine Translation (Q)
|
57% |
303
7.40 IPS |
