OnePlus OPD2415
Geekbench AI Score
2552
Single Precision Score
3992
Half Precision Score
3371
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 09:00 AM |
| 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% |
1449
269.4 IPS |
|
|
Image Classification (HP)
|
100% |
2219
412.7 IPS |
|
|
Image Classification (Q)
|
100% |
1996
371.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3070
49.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4578
74.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4776
77.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12745
14.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
22831
26.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
22489
26.4 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.7 IPS |
|
|
Object Detection (HP)
|
99% |
2201
174.6 IPS |
|
|
Object Detection (Q)
|
85% |
2140
172.3 IPS |
|
|
Face Detection (SP)
|
100% |
5402
64.2 IPS |
|
|
Face Detection (HP)
|
100% |
9549
113.5 IPS |
|
|
Face Detection (Q)
|
97% |
7858
93.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6559
50.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9217
71.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
6964
67.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16099
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35067
45.1 IPS |
|
|
Style Transfer (Q)
|
98% |
34579
44.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3451
127.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5208
192.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5067
187.8 IPS |
|
|
Text Classification (SP)
|
35% |
67
651.9 IPS |
|
|
Text Classification (HP)
|
35% |
69
626.5 IPS |
|
|
Text Classification (Q)
|
33% |
59
657.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1816
31.3 IPS |
|
|
Machine Translation (Q)
|
48% |
732
28.1 IPS |
