OnePlus OPD2415
Geekbench AI Score
2302
Single Precision Score
2375
Half Precision Score
4380
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 03:38 AM |
| Views | 3 |
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 | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1426
265.3 IPS |
|
|
Image Classification (HP)
|
100% |
1299
241.7 IPS |
|
|
Image Classification (Q)
|
100% |
3677
683.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2041
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5323
86.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4619
5.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
4618
5.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
9591
11.4 IPS |
|
|
Object Detection (SP)
|
98% |
1042
82.9 IPS |
|
|
Object Detection (HP)
|
98% |
1358
108.0 IPS |
|
|
Object Detection (Q)
|
83% |
2475
199.9 IPS |
|
|
Face Detection (SP)
|
100% |
2840
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
3653
43.4 IPS |
|
|
Face Detection (Q)
|
95% |
8677
103.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3622
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3609
27.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
8839
81.0 IPS |
|
|
Style Transfer (SP)
|
89% |
10117
13.1 IPS |
|
|
Style Transfer (HP)
|
89% |
10055
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22408
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2063
76.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2028
74.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5728
212.3 IPS |
|
|
Text Classification (SP)
|
100% |
1026
1.37 KIPS |
|
|
Text Classification (HP)
|
99% |
994
1.33 KIPS |
|
|
Text Classification (Q)
|
88% |
1103
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1359
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1227
21.1 IPS |
|
|
Machine Translation (Q)
|
50% |
516
18.3 IPS |
