OnePlus 12
Geekbench AI Score
2523
Single Precision Score
2483
Half Precision Score
4140
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 02 2025 07:29 AM |
| Views | 6 |
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% |
2046
380.5 IPS |
|
|
Image Classification (HP)
|
100% |
1874
348.6 IPS |
|
|
Image Classification (Q)
|
100% |
3036
564.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1985
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2055
33.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4038
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3910
4.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3761
4.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
8758
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
1840
146.5 IPS |
|
|
Object Detection (HP)
|
98% |
1893
150.6 IPS |
|
|
Object Detection (Q)
|
83% |
3100
250.4 IPS |
|
|
Face Detection (SP)
|
100% |
3824
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
3783
45.0 IPS |
|
|
Face Detection (Q)
|
95% |
6647
79.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3707
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3582
27.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
6440
59.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9132
11.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9091
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18506
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1963
72.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1941
71.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4898
181.5 IPS |
|
|
Text Classification (SP)
|
100% |
903
1.21 KIPS |
|
|
Text Classification (HP)
|
99% |
909
1.21 KIPS |
|
|
Text Classification (Q)
|
88% |
1387
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1563
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1496
25.8 IPS |
|
|
Machine Translation (Q)
|
50% |
826
29.3 IPS |
