OnePlus OPD2403
Geekbench AI Score
1794
Single Precision Score
2609
Half Precision Score
2047
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 08:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1082
201.1 IPS |
|
|
Image Classification (HP)
|
100% |
1545
287.3 IPS |
|
|
Image Classification (Q)
|
100% |
1362
253.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2396
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3930
63.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3490
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9999
11.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
17548
20.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
16875
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
954
75.7 IPS |
|
|
Object Detection (HP)
|
99% |
1249
99.1 IPS |
|
|
Object Detection (Q)
|
87% |
1239
99.5 IPS |
|
|
Face Detection (SP)
|
100% |
3042
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
4550
54.1 IPS |
|
|
Face Detection (Q)
|
97% |
3668
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4956
38.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
7107
54.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
5419
53.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12225
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23856
30.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22927
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2181
80.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3205
118.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3159
117.1 IPS |
|
|
Text Classification (SP)
|
35% |
37
357.3 IPS |
|
|
Text Classification (HP)
|
35% |
49
445.5 IPS |
|
|
Text Classification (Q)
|
33% |
37
447.0 IPS |
|
|
Machine Translation (SP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (HP)
|
97% |
908
15.7 IPS |
|
|
Machine Translation (Q)
|
43% |
245
13.9 IPS |
