OnePlus OPD2403
Geekbench AI Score
2487
Single Precision Score
2463
Half Precision Score
3874
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 28 2025 07:36 AM |
| Views | 2 |
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% |
1843
342.8 IPS |
|
|
Image Classification (HP)
|
100% |
1737
323.0 IPS |
|
|
Image Classification (Q)
|
100% |
3057
568.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2327
37.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3459
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3926
4.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3920
4.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
8791
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
1818
144.7 IPS |
|
|
Object Detection (HP)
|
98% |
1807
143.8 IPS |
|
|
Object Detection (Q)
|
83% |
2556
206.5 IPS |
|
|
Face Detection (SP)
|
100% |
3660
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
3675
43.7 IPS |
|
|
Face Detection (Q)
|
95% |
5930
70.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3593
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3524
27.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6151
56.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9175
11.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9171
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18154
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1887
69.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1900
70.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4508
167.0 IPS |
|
|
Text Classification (SP)
|
100% |
844
1.13 KIPS |
|
|
Text Classification (HP)
|
99% |
832
1.11 KIPS |
|
|
Text Classification (Q)
|
88% |
1282
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1568
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1529
26.3 IPS |
|
|
Machine Translation (Q)
|
50% |
838
29.7 IPS |
