OnePlus OPD2415
Geekbench AI Score
2429
Single Precision Score
2426
Half Precision Score
4585
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 10:09 AM |
| 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% |
1469
273.2 IPS |
|
|
Image Classification (HP)
|
100% |
1386
257.7 IPS |
|
|
Image Classification (Q)
|
100% |
3324
618.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2021
32.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4260
69.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4652
5.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
4659
5.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
12033
14.3 IPS |
|
|
Object Detection (SP)
|
98% |
1458
116.0 IPS |
|
|
Object Detection (HP)
|
98% |
1465
116.5 IPS |
|
|
Object Detection (Q)
|
83% |
3677
297.0 IPS |
|
|
Face Detection (SP)
|
100% |
3838
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
3918
46.6 IPS |
|
|
Face Detection (Q)
|
95% |
9443
112.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3945
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4000
30.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
8603
78.8 IPS |
|
|
Style Transfer (SP)
|
89% |
9970
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9620
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22488
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1983
73.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2011
74.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6594
244.3 IPS |
|
|
Text Classification (SP)
|
100% |
938
1.25 KIPS |
|
|
Text Classification (HP)
|
99% |
947
1.26 KIPS |
|
|
Text Classification (Q)
|
88% |
1064
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1318
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (Q)
|
50% |
512
18.2 IPS |
