OnePlus OPD2415
Geekbench AI Score
2540
Single Precision Score
3902
Half Precision Score
3425
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2025 01:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1609
299.3 IPS |
|
|
Image Classification (HP)
|
100% |
2161
401.8 IPS |
|
|
Image Classification (Q)
|
100% |
2784
517.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2891
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4372
70.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5169
84.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12747
14.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
22986
26.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
22648
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
1481
117.4 IPS |
|
|
Object Detection (HP)
|
99% |
2034
161.3 IPS |
|
|
Object Detection (Q)
|
85% |
1936
155.9 IPS |
|
|
Face Detection (SP)
|
100% |
5230
62.1 IPS |
|
|
Face Detection (HP)
|
100% |
9232
109.7 IPS |
|
|
Face Detection (Q)
|
97% |
7481
89.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6579
50.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8994
69.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
6977
68.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15604
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35347
45.4 IPS |
|
|
Style Transfer (Q)
|
98% |
34696
44.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3464
127.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5234
193.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5122
189.8 IPS |
|
|
Text Classification (SP)
|
35% |
67
653.6 IPS |
|
|
Text Classification (HP)
|
35% |
69
626.6 IPS |
|
|
Text Classification (Q)
|
33% |
54
602.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1023
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1750
30.1 IPS |
|
|
Machine Translation (Q)
|
48% |
704
27.0 IPS |
