OnePlus OPD2505
Geekbench AI Score
968
Single Precision Score
967
Half Precision Score
2087
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 12 2025 10:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus OPD2505 |
| Model ID | OnePlus OPD2505 |
| Motherboard | k6878v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
471
87.6 IPS |
|
|
Image Classification (HP)
|
100% |
476
88.4 IPS |
|
|
Image Classification (Q)
|
100% |
1417
263.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
531
8.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
535
8.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
1706
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2028
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2026
2.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
3798
4.50 IPS |
|
|
Object Detection (SP)
|
100% |
473
37.5 IPS |
|
|
Object Detection (HP)
|
100% |
476
37.7 IPS |
|
|
Object Detection (Q)
|
83% |
1421
114.8 IPS |
|
|
Face Detection (SP)
|
100% |
1196
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
1199
14.2 IPS |
|
|
Face Detection (Q)
|
95% |
3497
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1689
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1694
13.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3497
32.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3720
4.83 IPS |
|
|
Style Transfer (HP)
|
89% |
3721
4.83 IPS |
|
|
Style Transfer (Q)
|
98% |
8573
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
944
34.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
930
34.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2078
77.0 IPS |
|
|
Text Classification (SP)
|
100% |
531
708.9 IPS |
|
|
Text Classification (HP)
|
100% |
526
702.2 IPS |
|
|
Text Classification (Q)
|
88% |
1009
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
806
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (Q)
|
50% |
549
19.5 IPS |
