OnePlus OPD2403
Geekbench AI Score
1851
Single Precision Score
2847
Half Precision Score
2197
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 18 2025 10:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1223
227.5 IPS |
|
|
Image Classification (HP)
|
100% |
1635
304.1 IPS |
|
|
Image Classification (Q)
|
100% |
1442
268.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2634
42.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4361
70.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3260
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9825
11.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
17977
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17453
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
952
75.5 IPS |
|
|
Object Detection (HP)
|
99% |
1497
118.7 IPS |
|
|
Object Detection (Q)
|
87% |
1459
117.2 IPS |
|
|
Face Detection (SP)
|
100% |
3611
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
6371
75.7 IPS |
|
|
Face Detection (Q)
|
97% |
5106
60.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5053
38.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
7440
57.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
5591
55.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12337
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26420
34.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26123
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2496
92.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4264
157.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4140
153.4 IPS |
|
|
Text Classification (SP)
|
35% |
40
389.7 IPS |
|
|
Text Classification (HP)
|
35% |
52
476.1 IPS |
|
|
Text Classification (Q)
|
33% |
40
482.7 IPS |
|
|
Machine Translation (SP)
|
100% |
700
12.1 IPS |
|
|
Machine Translation (HP)
|
97% |
657
11.4 IPS |
|
|
Machine Translation (Q)
|
43% |
178
10.1 IPS |
