OnePlus OPD2403
Geekbench AI Score
2702
Single Precision Score
2705
Half Precision Score
4372
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 07 2025 10:16 AM |
| 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% |
2152
400.3 IPS |
|
|
Image Classification (HP)
|
100% |
2250
418.4 IPS |
|
|
Image Classification (Q)
|
100% |
3695
687.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2492
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2477
40.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4026
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4206
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3895
4.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
8963
10.6 IPS |
|
|
Object Detection (SP)
|
98% |
1943
154.6 IPS |
|
|
Object Detection (HP)
|
98% |
2119
168.6 IPS |
|
|
Object Detection (Q)
|
83% |
2989
241.5 IPS |
|
|
Face Detection (SP)
|
100% |
3909
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
3910
46.5 IPS |
|
|
Face Detection (Q)
|
95% |
7154
85.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3727
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3742
28.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
6579
60.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9530
12.4 IPS |
|
|
Style Transfer (HP)
|
89% |
9650
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
18981
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1942
71.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1986
73.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5069
187.8 IPS |
|
|
Text Classification (SP)
|
100% |
1050
1.40 KIPS |
|
|
Text Classification (HP)
|
99% |
1027
1.37 KIPS |
|
|
Text Classification (Q)
|
88% |
1621
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1672
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1585
27.3 IPS |
|
|
Machine Translation (Q)
|
50% |
874
31.0 IPS |
