OnePlus 12
Geekbench AI Score
1752
Single Precision Score
2608
Half Precision Score
1972
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 12 2025 07:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1001
186.2 IPS |
|
|
Image Classification (HP)
|
100% |
1412
262.6 IPS |
|
|
Image Classification (Q)
|
100% |
1258
233.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3537
57.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2692
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9978
11.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
18565
21.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
17720
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
938
74.4 IPS |
|
|
Object Detection (HP)
|
99% |
1188
94.2 IPS |
|
|
Object Detection (Q)
|
87% |
1213
97.4 IPS |
|
|
Face Detection (SP)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
4810
57.1 IPS |
|
|
Face Detection (Q)
|
97% |
3833
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4920
37.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
7450
57.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
5682
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13251
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27741
35.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24087
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2506
92.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3675
135.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2988
110.7 IPS |
|
|
Text Classification (SP)
|
35% |
34
333.3 IPS |
|
|
Text Classification (HP)
|
35% |
49
445.5 IPS |
|
|
Text Classification (Q)
|
33% |
35
421.2 IPS |
|
|
Machine Translation (SP)
|
100% |
740
12.7 IPS |
|
|
Machine Translation (HP)
|
97% |
739
12.8 IPS |
|
|
Machine Translation (Q)
|
43% |
223
12.7 IPS |
