OnePlus OPD2415
Geekbench AI Score
2583
Single Precision Score
4020
Half Precision Score
3477
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | fridriksa |
| Upload Date | February 24 2026 04:26 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1484
275.9 IPS |
|
|
Image Classification (HP)
|
100% |
2190
407.2 IPS |
|
|
Image Classification (Q)
|
100% |
2013
374.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2869
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4337
70.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4854
78.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12920
15.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
23471
27.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
22719
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.9 IPS |
|
|
Object Detection (HP)
|
99% |
2204
174.8 IPS |
|
|
Object Detection (Q)
|
85% |
1947
156.7 IPS |
|
|
Face Detection (SP)
|
100% |
5950
70.7 IPS |
|
|
Face Detection (HP)
|
100% |
10425
123.9 IPS |
|
|
Face Detection (Q)
|
97% |
8833
105.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6657
51.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9202
71.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
7091
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15870
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35240
45.3 IPS |
|
|
Style Transfer (Q)
|
98% |
35129
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3519
129.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5308
196.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5731
212.4 IPS |
|
|
Text Classification (SP)
|
35% |
69
672.9 IPS |
|
|
Text Classification (HP)
|
35% |
70
639.0 IPS |
|
|
Text Classification (Q)
|
33% |
65
725.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1046
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1790
30.8 IPS |
|
|
Machine Translation (Q)
|
48% |
731
28.1 IPS |
