OnePlus OPD2505
Geekbench AI Score
973
Single Precision Score
971
Half Precision Score
2063
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 03 2025 06:29 PM |
| Views | 1 |
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% |
485
90.3 IPS |
|
|
Image Classification (HP)
|
100% |
481
89.4 IPS |
|
|
Image Classification (Q)
|
100% |
1476
274.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
577
9.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
560
9.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
1713
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2028
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2025
2.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
3827
4.54 IPS |
|
|
Object Detection (SP)
|
100% |
476
37.7 IPS |
|
|
Object Detection (HP)
|
100% |
479
38.0 IPS |
|
|
Object Detection (Q)
|
83% |
1425
115.1 IPS |
|
|
Face Detection (SP)
|
100% |
1176
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
1226
14.6 IPS |
|
|
Face Detection (Q)
|
95% |
3519
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1715
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1724
13.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3496
32.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3802
4.94 IPS |
|
|
Style Transfer (HP)
|
89% |
3763
4.88 IPS |
|
|
Style Transfer (Q)
|
98% |
8559
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
952
35.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
951
35.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2073
76.8 IPS |
|
|
Text Classification (SP)
|
100% |
520
693.4 IPS |
|
|
Text Classification (HP)
|
100% |
514
686.2 IPS |
|
|
Text Classification (Q)
|
88% |
937
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
741
12.8 IPS |
|
|
Machine Translation (Q)
|
50% |
497
17.6 IPS |
