OnePlus OPD2415
Geekbench AI Score
2399
Single Precision Score
2410
Half Precision Score
4547
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 08:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 15.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1549
288.0 IPS |
|
|
Image Classification (HP)
|
100% |
1516
281.9 IPS |
|
|
Image Classification (Q)
|
100% |
3950
734.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1867
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1867
30.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4461
72.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4541
5.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
4490
5.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
12104
14.4 IPS |
|
|
Object Detection (SP)
|
98% |
1234
98.2 IPS |
|
|
Object Detection (HP)
|
98% |
1435
114.2 IPS |
|
|
Object Detection (Q)
|
83% |
3829
309.3 IPS |
|
|
Face Detection (SP)
|
100% |
4122
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
3553
42.2 IPS |
|
|
Face Detection (Q)
|
95% |
8804
105.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4031
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4017
31.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
8620
79.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9853
12.8 IPS |
|
|
Style Transfer (HP)
|
89% |
10058
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20748
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2009
74.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2017
74.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5927
219.6 IPS |
|
|
Text Classification (SP)
|
100% |
910
1.21 KIPS |
|
|
Text Classification (HP)
|
99% |
966
1.29 KIPS |
|
|
Text Classification (Q)
|
88% |
1010
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1303
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1297
22.3 IPS |
|
|
Machine Translation (Q)
|
50% |
491
17.4 IPS |
