OnePlus OPD2415
Geekbench AI Score
2433
Single Precision Score
2457
Half Precision Score
4634
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 10:12 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% |
1532
284.9 IPS |
|
|
Image Classification (HP)
|
100% |
1758
326.9 IPS |
|
|
Image Classification (Q)
|
100% |
4215
783.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1909
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1875
30.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4910
79.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4558
5.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
4577
5.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
11871
14.1 IPS |
|
|
Object Detection (SP)
|
98% |
1438
114.4 IPS |
|
|
Object Detection (HP)
|
98% |
1453
115.6 IPS |
|
|
Object Detection (Q)
|
83% |
3676
296.9 IPS |
|
|
Face Detection (SP)
|
100% |
3929
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
3774
44.8 IPS |
|
|
Face Detection (Q)
|
95% |
8904
106.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3983
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4005
30.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
8493
77.8 IPS |
|
|
Style Transfer (SP)
|
89% |
9970
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9960
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
21093
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2038
75.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2026
74.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5935
219.9 IPS |
|
|
Text Classification (SP)
|
100% |
905
1.21 KIPS |
|
|
Text Classification (HP)
|
99% |
915
1.22 KIPS |
|
|
Text Classification (Q)
|
88% |
1050
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1320
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1312
22.6 IPS |
|
|
Machine Translation (Q)
|
50% |
509
18.1 IPS |
