OnePlus OPD2415
Geekbench AI Score
2540
Single Precision Score
3977
Half Precision Score
3352
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 07:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus OPD2415 |
| Model ID | OnePlus OPD2415 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1455
270.7 IPS |
|
|
Image Classification (HP)
|
100% |
2182
405.8 IPS |
|
|
Image Classification (Q)
|
100% |
2799
520.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2838
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4398
71.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3655
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12809
14.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
22967
26.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
22563
26.4 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.3 IPS |
|
|
Object Detection (HP)
|
99% |
2013
159.6 IPS |
|
|
Object Detection (Q)
|
85% |
1905
153.4 IPS |
|
|
Face Detection (SP)
|
100% |
5176
61.5 IPS |
|
|
Face Detection (HP)
|
100% |
10532
125.1 IPS |
|
|
Face Detection (Q)
|
97% |
7692
91.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6617
51.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9010
69.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
6988
68.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15726
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35414
45.5 IPS |
|
|
Style Transfer (Q)
|
98% |
34950
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3494
129.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5269
194.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5372
199.1 IPS |
|
|
Text Classification (SP)
|
35% |
73
707.0 IPS |
|
|
Text Classification (HP)
|
35% |
71
643.3 IPS |
|
|
Text Classification (Q)
|
33% |
57
641.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1775
30.6 IPS |
|
|
Machine Translation (Q)
|
48% |
709
27.2 IPS |
