OnePlus 12
Geekbench AI Score
2688
Single Precision Score
2787
Half Precision Score
4433
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 08 2025 05:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2017
375.0 IPS |
|
|
Image Classification (HP)
|
100% |
2360
438.9 IPS |
|
|
Image Classification (Q)
|
100% |
3699
687.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2524
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2563
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4249
69.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4096
4.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3948
4.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
9155
10.9 IPS |
|
|
Object Detection (SP)
|
98% |
2096
166.8 IPS |
|
|
Object Detection (HP)
|
98% |
2103
167.3 IPS |
|
|
Object Detection (Q)
|
83% |
2957
238.8 IPS |
|
|
Face Detection (SP)
|
100% |
3843
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
3844
45.7 IPS |
|
|
Face Detection (Q)
|
95% |
7238
86.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3834
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3787
29.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
6826
62.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9802
12.7 IPS |
|
|
Style Transfer (HP)
|
89% |
9722
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19346
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2025
74.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2044
75.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5068
187.8 IPS |
|
|
Text Classification (SP)
|
100% |
1013
1.35 KIPS |
|
|
Text Classification (HP)
|
99% |
1065
1.42 KIPS |
|
|
Text Classification (Q)
|
88% |
1573
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1521
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1829
31.5 IPS |
|
|
Machine Translation (Q)
|
50% |
906
32.2 IPS |
