OnePlus 12
Geekbench AI Score
238
Single Precision Score
228
Half Precision Score
532
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | PM974 |
| Upload Date | December 23 2024 08:43 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus 12 |
| Model ID | OnePlus CPH2581 |
| 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 | 14.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
231
42.9 IPS |
|
|
Image Classification (HP)
|
100% |
228
42.4 IPS |
|
|
Image Classification (Q)
|
99% |
668
124.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
662
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
287
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
197
0.23 IPS |
|
|
Pose Estimation (Q)
|
98% |
747
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.96 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.98 IPS |
|
|
Object Detection (Q)
|
87% |
414
33.2 IPS |
|
|
Face Detection (SP)
|
100% |
340
4.04 IPS |
|
|
Face Detection (HP)
|
100% |
341
4.05 IPS |
|
|
Face Detection (Q)
|
97% |
649
7.74 IPS |
|
|
Depth Estimation (SP)
|
100% |
269
2.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
269
2.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
605
5.49 IPS |
|
|
Style Transfer (SP)
|
100% |
497
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
488
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
1324
1.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
127
4.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
127
4.68 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
432
16.0 IPS |
|
|
Text Classification (SP)
|
100% |
156
208.1 IPS |
|
|
Text Classification (HP)
|
100% |
157
208.9 IPS |
|
|
Text Classification (Q)
|
91% |
256
343.8 IPS |
|
|
Machine Translation (SP)
|
100% |
283
4.88 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (Q)
|
57% |
231
5.65 IPS |
