OnePlus 12
Geekbench AI Score
1577
Single Precision Score
2302
Half Precision Score
1780
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 04:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 22.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
939
174.6 IPS |
|
|
Image Classification (HP)
|
100% |
1383
257.2 IPS |
|
|
Image Classification (Q)
|
100% |
1202
223.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3356
54.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2230
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9763
11.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
17780
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17108
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
853
67.7 IPS |
|
|
Object Detection (HP)
|
99% |
1090
86.5 IPS |
|
|
Object Detection (Q)
|
87% |
1094
87.9 IPS |
|
|
Face Detection (SP)
|
100% |
2541
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
3972
47.2 IPS |
|
|
Face Detection (Q)
|
97% |
4107
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4407
34.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
7064
54.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
5441
53.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12049
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25616
32.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23393
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2211
81.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3227
119.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2697
100.0 IPS |
|
|
Text Classification (SP)
|
35% |
32
307.6 IPS |
|
|
Text Classification (HP)
|
35% |
33
301.8 IPS |
|
|
Text Classification (Q)
|
33% |
27
323.0 IPS |
|
|
Machine Translation (SP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (HP)
|
97% |
607
10.5 IPS |
|
|
Machine Translation (Q)
|
43% |
168
9.54 IPS |
