OnePlus OPD2415
Geekbench AI Score
2442
Single Precision Score
2492
Half Precision Score
4227
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Ncard00 |
| Upload Date | July 18 2025 10:54 AM |
| Views | 9 |
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 | 15.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1563
290.7 IPS |
|
|
Image Classification (HP)
|
100% |
1814
337.3 IPS |
|
|
Image Classification (Q)
|
100% |
4197
780.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2063
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2226
36.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4645
75.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4691
5.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
4770
5.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
12269
14.6 IPS |
|
|
Object Detection (SP)
|
98% |
1490
118.6 IPS |
|
|
Object Detection (HP)
|
98% |
1447
115.1 IPS |
|
|
Object Detection (Q)
|
83% |
3293
266.0 IPS |
|
|
Face Detection (SP)
|
100% |
3972
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
3947
46.9 IPS |
|
|
Face Detection (Q)
|
95% |
7691
91.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4030
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4000
30.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
8616
78.9 IPS |
|
|
Style Transfer (SP)
|
89% |
9962
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
10008
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19859
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1992
73.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1985
73.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4940
183.0 IPS |
|
|
Text Classification (SP)
|
100% |
801
1.07 KIPS |
|
|
Text Classification (HP)
|
99% |
820
1.09 KIPS |
|
|
Text Classification (Q)
|
88% |
765
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1316
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (Q)
|
50% |
465
16.5 IPS |
