OnePlus OPD2403
Geekbench AI Score
2620
Single Precision Score
2262
Half Precision Score
3172
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 15 2025 03:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus OPD2403 |
| Model ID | OnePlus OPD2403 |
| Motherboard | pineapple |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 7.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1768
328.7 IPS |
|
|
Image Classification (HP)
|
100% |
1744
324.3 IPS |
|
|
Image Classification (Q)
|
100% |
2625
488.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2418
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2422
39.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3323
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4391
5.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
4211
4.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
9033
10.7 IPS |
|
|
Object Detection (SP)
|
98% |
1755
139.6 IPS |
|
|
Object Detection (HP)
|
98% |
1749
139.2 IPS |
|
|
Object Detection (Q)
|
83% |
2143
173.1 IPS |
|
|
Face Detection (SP)
|
100% |
3639
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
3644
43.3 IPS |
|
|
Face Detection (Q)
|
95% |
5388
64.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3914
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3835
29.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5563
51.0 IPS |
|
|
Style Transfer (SP)
|
89% |
10210
13.3 IPS |
|
|
Style Transfer (HP)
|
90% |
2437
3.16 IPS |
|
|
Style Transfer (Q)
|
98% |
18201
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1830
67.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1874
69.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3356
124.4 IPS |
|
|
Text Classification (SP)
|
100% |
977
1.30 KIPS |
|
|
Text Classification (HP)
|
99% |
1029
1.37 KIPS |
|
|
Text Classification (Q)
|
88% |
789
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1780
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1719
29.6 IPS |
|
|
Machine Translation (Q)
|
50% |
424
15.1 IPS |
