OnePlus OPD2415
Geekbench AI Score
1896
Single Precision Score
1893
Half Precision Score
3251
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 09:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
952
177.1 IPS |
|
|
Image Classification (HP)
|
100% |
1530
284.6 IPS |
|
|
Image Classification (Q)
|
100% |
3438
639.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1962
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3898
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4551
5.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
4300
5.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
11540
13.7 IPS |
|
|
Object Detection (SP)
|
98% |
1212
96.5 IPS |
|
|
Object Detection (HP)
|
98% |
1218
96.9 IPS |
|
|
Object Detection (Q)
|
83% |
1949
157.5 IPS |
|
|
Face Detection (SP)
|
100% |
3190
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
3215
38.2 IPS |
|
|
Face Detection (Q)
|
95% |
5059
60.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2490
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2587
20.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5801
53.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6751
8.76 IPS |
|
|
Style Transfer (HP)
|
89% |
6489
8.42 IPS |
|
|
Style Transfer (Q)
|
98% |
15591
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1466
54.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1425
52.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3764
139.5 IPS |
|
|
Text Classification (SP)
|
100% |
690
920.6 IPS |
|
|
Text Classification (HP)
|
99% |
668
891.5 IPS |
|
|
Text Classification (Q)
|
88% |
615
829.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (Q)
|
50% |
414
14.7 IPS |
