OnePlus OPD2415
Geekbench AI Score
2532
Single Precision Score
2617
Half Precision Score
4729
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | oldnick |
| Upload Date | November 22 2025 10:19 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 15.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1541
286.6 IPS |
|
|
Image Classification (HP)
|
100% |
1903
353.9 IPS |
|
|
Image Classification (Q)
|
100% |
3976
739.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1991
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4793
77.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4745
5.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
4705
5.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
12596
14.9 IPS |
|
|
Object Detection (SP)
|
98% |
1541
122.6 IPS |
|
|
Object Detection (HP)
|
98% |
1638
130.3 IPS |
|
|
Object Detection (Q)
|
83% |
3441
277.9 IPS |
|
|
Face Detection (SP)
|
100% |
4033
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
3995
47.5 IPS |
|
|
Face Detection (Q)
|
95% |
9330
111.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4115
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4123
31.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
8876
81.3 IPS |
|
|
Style Transfer (SP)
|
89% |
10387
13.5 IPS |
|
|
Style Transfer (HP)
|
89% |
10323
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
23953
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2133
78.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2071
76.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6586
244.0 IPS |
|
|
Text Classification (SP)
|
100% |
971
1.30 KIPS |
|
|
Text Classification (HP)
|
99% |
992
1.32 KIPS |
|
|
Text Classification (Q)
|
88% |
1017
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1354
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1335
23.0 IPS |
|
|
Machine Translation (Q)
|
50% |
510
18.1 IPS |
