OnePlus OPD2415
Geekbench AI Score
1054
Single Precision Score
627
Half Precision Score
825
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 08:15 PM |
| Views | 1 |
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% |
758
141.0 IPS |
|
|
Image Classification (HP)
|
100% |
210
39.1 IPS |
|
|
Image Classification (Q)
|
100% |
331
61.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
886
14.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2365
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2468
2.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
4178
4.96 IPS |
|
|
Object Detection (SP)
|
98% |
228
18.2 IPS |
|
|
Object Detection (HP)
|
98% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
83% |
1585
128.0 IPS |
|
|
Face Detection (SP)
|
100% |
748
8.89 IPS |
|
|
Face Detection (HP)
|
100% |
721
8.56 IPS |
|
|
Face Detection (Q)
|
95% |
862
10.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2117
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
736
5.69 IPS |
|
|
Depth Estimation (Q)
|
64% |
945
8.66 IPS |
|
|
Style Transfer (SP)
|
89% |
8444
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
5110
6.63 IPS |
|
|
Style Transfer (Q)
|
98% |
11044
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1941
71.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1053
38.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2532
93.8 IPS |
|
|
Text Classification (SP)
|
100% |
403
537.5 IPS |
|
|
Text Classification (HP)
|
99% |
36
48.7 IPS |
|
|
Text Classification (Q)
|
88% |
38
51.6 IPS |
|
|
Machine Translation (SP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1193
20.5 IPS |
|
|
Machine Translation (Q)
|
50% |
87
3.09 IPS |
