OnePlus OPD2480
Geekbench AI Score
505
Single Precision Score
505
Half Precision Score
920
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 05:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus OPD2480 |
| Model ID | OnePlus OPD2480 |
| Motherboard | k6789v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 5.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
222
41.4 IPS |
|
|
Image Classification (HP)
|
100% |
223
41.4 IPS |
|
|
Image Classification (Q)
|
100% |
638
118.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
277
4.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
277
4.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
705
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1088
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1078
1.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
1570
1.86 IPS |
|
|
Object Detection (SP)
|
100% |
225
17.8 IPS |
|
|
Object Detection (HP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (Q)
|
83% |
624
50.4 IPS |
|
|
Face Detection (SP)
|
100% |
713
8.47 IPS |
|
|
Face Detection (HP)
|
100% |
713
8.47 IPS |
|
|
Face Detection (Q)
|
95% |
1445
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
926
7.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
924
7.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
1446
13.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1804
2.34 IPS |
|
|
Style Transfer (HP)
|
89% |
1814
2.35 IPS |
|
|
Style Transfer (Q)
|
98% |
3604
4.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
873
32.4 IPS |
|
|
Text Classification (SP)
|
100% |
273
364.1 IPS |
|
|
Text Classification (HP)
|
100% |
271
361.1 IPS |
|
|
Text Classification (Q)
|
88% |
466
628.2 IPS |
|
|
Machine Translation (SP)
|
100% |
468
8.07 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.05 IPS |
|
|
Machine Translation (Q)
|
50% |
324
11.5 IPS |
