OnePlus OPD2403
Geekbench AI Score
2436
Single Precision Score
2345
Half Precision Score
3662
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 11 2025 08:07 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% |
2369
440.7 IPS |
|
|
Image Classification (HP)
|
100% |
2193
407.9 IPS |
|
|
Image Classification (Q)
|
100% |
3612
671.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2475
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2424
39.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3655
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3610
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
3469
4.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
8146
9.66 IPS |
|
|
Object Detection (SP)
|
98% |
2023
161.0 IPS |
|
|
Object Detection (HP)
|
98% |
1891
150.5 IPS |
|
|
Object Detection (Q)
|
83% |
2663
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
3777
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
3784
45.0 IPS |
|
|
Face Detection (Q)
|
95% |
6748
80.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3692
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3484
26.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
6104
55.9 IPS |
|
|
Style Transfer (SP)
|
89% |
9269
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9007
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18512
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1893
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1397
51.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3402
126.1 IPS |
|
|
Text Classification (SP)
|
100% |
624
833.4 IPS |
|
|
Text Classification (HP)
|
99% |
628
838.0 IPS |
|
|
Text Classification (Q)
|
88% |
962
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1129
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1389
23.9 IPS |
|
|
Machine Translation (Q)
|
50% |
608
21.6 IPS |
