OnePlus OPD2415
Geekbench AI Score
2260
Single Precision Score
2387
Half Precision Score
4378
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 10:15 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% |
1648
306.5 IPS |
|
|
Image Classification (HP)
|
100% |
1295
240.8 IPS |
|
|
Image Classification (Q)
|
100% |
3392
630.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1301
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1590
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3864
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2959
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
4471
5.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
12024
14.3 IPS |
|
|
Object Detection (SP)
|
98% |
1407
112.0 IPS |
|
|
Object Detection (HP)
|
98% |
1473
117.2 IPS |
|
|
Object Detection (Q)
|
83% |
3565
288.0 IPS |
|
|
Face Detection (SP)
|
100% |
3858
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
3959
47.0 IPS |
|
|
Face Detection (Q)
|
95% |
9276
110.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4026
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4033
31.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
8398
76.9 IPS |
|
|
Style Transfer (SP)
|
89% |
10114
13.1 IPS |
|
|
Style Transfer (HP)
|
89% |
10162
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17563
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2069
76.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2068
76.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6163
228.4 IPS |
|
|
Text Classification (SP)
|
100% |
893
1.19 KIPS |
|
|
Text Classification (HP)
|
99% |
977
1.30 KIPS |
|
|
Text Classification (Q)
|
88% |
1052
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1345
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1354
23.3 IPS |
|
|
Machine Translation (Q)
|
50% |
520
18.5 IPS |
