OnePlus OPD2403
Geekbench AI Score
2743
Single Precision Score
2733
Half Precision Score
4377
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 18 2025 10:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2285
424.9 IPS |
|
|
Image Classification (HP)
|
100% |
2055
382.2 IPS |
|
|
Image Classification (Q)
|
100% |
3375
627.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3708
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4100
4.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3978
4.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
9140
10.8 IPS |
|
|
Object Detection (SP)
|
98% |
2104
167.4 IPS |
|
|
Object Detection (HP)
|
98% |
2194
174.6 IPS |
|
|
Object Detection (Q)
|
83% |
3171
256.1 IPS |
|
|
Face Detection (SP)
|
100% |
3815
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
3700
44.0 IPS |
|
|
Face Detection (Q)
|
95% |
7139
85.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4140
32.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4017
31.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
7001
64.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9769
12.7 IPS |
|
|
Style Transfer (HP)
|
89% |
9640
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19117
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2159
79.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2142
79.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5235
194.0 IPS |
|
|
Text Classification (SP)
|
100% |
975
1.30 KIPS |
|
|
Text Classification (HP)
|
99% |
1027
1.37 KIPS |
|
|
Text Classification (Q)
|
88% |
1485
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1814
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1791
30.8 IPS |
|
|
Machine Translation (Q)
|
50% |
958
34.0 IPS |
