OnePlus OPD2415
Geekbench AI Score
2478
Single Precision Score
3745
Half Precision Score
3188
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 09:48 AM |
| Views | 5 |
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 | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1464
272.3 IPS |
|
|
Image Classification (HP)
|
100% |
2063
383.6 IPS |
|
|
Image Classification (Q)
|
100% |
1977
367.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2685
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3949
64.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3737
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12916
15.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
23086
26.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
22720
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
1441
114.3 IPS |
|
|
Object Detection (HP)
|
99% |
1889
149.8 IPS |
|
|
Object Detection (Q)
|
85% |
1796
144.6 IPS |
|
|
Face Detection (SP)
|
100% |
4750
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
7024
83.5 IPS |
|
|
Face Detection (Q)
|
97% |
6201
73.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6581
50.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9003
69.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
6931
67.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16113
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35348
45.4 IPS |
|
|
Style Transfer (Q)
|
98% |
35019
45.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3458
127.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5229
193.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5176
191.8 IPS |
|
|
Text Classification (SP)
|
35% |
66
638.0 IPS |
|
|
Text Classification (HP)
|
35% |
73
662.4 IPS |
|
|
Text Classification (Q)
|
33% |
64
711.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1792
30.9 IPS |
|
|
Machine Translation (Q)
|
48% |
722
27.7 IPS |
