OnePlus OPD2415
Geekbench AI Score
2446
Single Precision Score
2487
Half Precision Score
4381
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2025 01:55 PM |
| 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% |
1595
296.6 IPS |
|
|
Image Classification (HP)
|
100% |
1734
322.4 IPS |
|
|
Image Classification (Q)
|
100% |
4145
770.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4947
80.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4692
5.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
4759
5.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
12161
14.4 IPS |
|
|
Object Detection (SP)
|
98% |
1531
121.8 IPS |
|
|
Object Detection (HP)
|
98% |
1479
117.7 IPS |
|
|
Object Detection (Q)
|
83% |
3347
270.4 IPS |
|
|
Face Detection (SP)
|
100% |
3944
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
3975
47.2 IPS |
|
|
Face Detection (Q)
|
95% |
9427
112.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4016
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4072
31.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
8159
74.7 IPS |
|
|
Style Transfer (SP)
|
89% |
10177
13.2 IPS |
|
|
Style Transfer (HP)
|
89% |
10151
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20569
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1975
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1982
73.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5015
185.8 IPS |
|
|
Text Classification (SP)
|
100% |
795
1.06 KIPS |
|
|
Text Classification (HP)
|
99% |
795
1.06 KIPS |
|
|
Text Classification (Q)
|
88% |
751
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1352
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (Q)
|
50% |
524
18.6 IPS |
