OnePlus 12
Geekbench AI Score
2159
Single Precision Score
2074
Half Precision Score
3310
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 19 2025 10:41 PM |
| Views | 1 |
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% |
1717
319.3 IPS |
|
|
Image Classification (HP)
|
100% |
1737
323.0 IPS |
|
|
Image Classification (Q)
|
100% |
2956
549.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2215
35.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3727
60.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3593
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3573
4.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
8083
9.59 IPS |
|
|
Object Detection (SP)
|
98% |
1690
134.5 IPS |
|
|
Object Detection (HP)
|
98% |
1670
132.9 IPS |
|
|
Object Detection (Q)
|
83% |
2310
186.6 IPS |
|
|
Face Detection (SP)
|
100% |
3321
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
2844
33.8 IPS |
|
|
Face Detection (Q)
|
95% |
4664
55.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3024
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2716
21.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4900
44.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7371
9.57 IPS |
|
|
Style Transfer (HP)
|
89% |
7373
9.57 IPS |
|
|
Style Transfer (Q)
|
98% |
14445
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1426
52.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1442
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3532
130.9 IPS |
|
|
Text Classification (SP)
|
100% |
664
885.8 IPS |
|
|
Text Classification (HP)
|
99% |
682
910.0 IPS |
|
|
Text Classification (Q)
|
88% |
1054
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1297
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1147
19.8 IPS |
|
|
Machine Translation (Q)
|
50% |
626
22.2 IPS |
