OnePlus OPD2403
Geekbench AI Score
2781
Single Precision Score
2816
Half Precision Score
4591
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 08:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2126
395.3 IPS |
|
|
Image Classification (HP)
|
100% |
2514
467.6 IPS |
|
|
Image Classification (Q)
|
100% |
3837
713.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2588
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2582
41.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3994
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4046
4.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3873
4.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
9254
11.0 IPS |
|
|
Object Detection (SP)
|
98% |
2180
173.5 IPS |
|
|
Object Detection (HP)
|
98% |
2196
174.7 IPS |
|
|
Object Detection (Q)
|
83% |
3386
273.5 IPS |
|
|
Face Detection (SP)
|
100% |
4000
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
3892
46.2 IPS |
|
|
Face Detection (Q)
|
95% |
7235
86.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3913
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3763
29.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
7034
64.4 IPS |
|
|
Style Transfer (SP)
|
89% |
9904
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9872
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19648
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2082
76.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2029
74.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5407
200.3 IPS |
|
|
Text Classification (SP)
|
100% |
1061
1.42 KIPS |
|
|
Text Classification (HP)
|
99% |
1037
1.38 KIPS |
|
|
Text Classification (Q)
|
88% |
1787
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1667
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1872
32.3 IPS |
|
|
Machine Translation (Q)
|
50% |
898
31.9 IPS |
