OnePlus OPD2415
Geekbench AI Score
2426
Single Precision Score
2468
Half Precision Score
4087
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 09:28 AM |
| Views | 3 |
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 | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1548
287.8 IPS |
|
|
Image Classification (HP)
|
100% |
1788
332.4 IPS |
|
|
Image Classification (Q)
|
100% |
3657
680.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1944
31.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4516
73.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4588
5.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
4659
5.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
12020
14.3 IPS |
|
|
Object Detection (SP)
|
98% |
1466
116.7 IPS |
|
|
Object Detection (HP)
|
98% |
1433
114.0 IPS |
|
|
Object Detection (Q)
|
83% |
3382
273.2 IPS |
|
|
Face Detection (SP)
|
100% |
3938
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
3987
47.4 IPS |
|
|
Face Detection (Q)
|
95% |
7753
92.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3824
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4036
31.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
7760
71.1 IPS |
|
|
Style Transfer (SP)
|
89% |
10230
13.3 IPS |
|
|
Style Transfer (HP)
|
89% |
10045
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20990
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2030
75.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2026
74.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4839
179.3 IPS |
|
|
Text Classification (SP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
832
1.11 KIPS |
|
|
Text Classification (Q)
|
88% |
652
879.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1326
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1326
22.8 IPS |
|
|
Machine Translation (Q)
|
50% |
487
17.3 IPS |
