OnePlus OPD2403
Geekbench AI Score
1790
Single Precision Score
2649
Half Precision Score
2074
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 13 2025 05:29 AM |
| Views | 6 |
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% |
1073
199.5 IPS |
|
|
Image Classification (HP)
|
100% |
1620
301.2 IPS |
|
|
Image Classification (Q)
|
100% |
1515
281.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2233
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3785
61.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3292
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9604
11.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
17208
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
16272
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
879
69.7 IPS |
|
|
Object Detection (HP)
|
99% |
1270
100.7 IPS |
|
|
Object Detection (Q)
|
87% |
1223
98.2 IPS |
|
|
Face Detection (SP)
|
100% |
3097
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
4694
55.8 IPS |
|
|
Face Detection (Q)
|
97% |
4153
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4843
37.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
7002
54.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
5364
52.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12120
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24359
31.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22402
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2232
82.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3269
120.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3057
113.3 IPS |
|
|
Text Classification (SP)
|
35% |
43
422.1 IPS |
|
|
Text Classification (HP)
|
35% |
55
496.1 IPS |
|
|
Text Classification (Q)
|
33% |
41
487.0 IPS |
|
|
Machine Translation (SP)
|
100% |
957
16.5 IPS |
|
|
Machine Translation (HP)
|
97% |
885
15.3 IPS |
|
|
Machine Translation (Q)
|
43% |
238
13.5 IPS |
