OnePlus 12
Geekbench AI Score
2442
Single Precision Score
2513
Half Precision Score
4039
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | akaloith |
| Upload Date | November 18 2025 04:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1107
205.9 IPS |
|
|
Image Classification (HP)
|
100% |
1552
288.6 IPS |
|
|
Image Classification (Q)
|
100% |
2723
506.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2273
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2285
37.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3573
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3780
4.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3807
4.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
8760
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
1795
142.9 IPS |
|
|
Object Detection (HP)
|
98% |
1866
148.5 IPS |
|
|
Object Detection (Q)
|
83% |
2780
224.6 IPS |
|
|
Face Detection (SP)
|
100% |
3799
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
3795
45.1 IPS |
|
|
Face Detection (Q)
|
95% |
6600
78.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3768
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3935
30.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
6740
61.7 IPS |
|
|
Style Transfer (SP)
|
89% |
9538
12.4 IPS |
|
|
Style Transfer (HP)
|
89% |
9380
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18562
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2028
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2088
77.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5017
185.9 IPS |
|
|
Text Classification (SP)
|
100% |
919
1.23 KIPS |
|
|
Text Classification (HP)
|
99% |
922
1.23 KIPS |
|
|
Text Classification (Q)
|
88% |
1424
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1739
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1479
25.5 IPS |
|
|
Machine Translation (Q)
|
50% |
827
29.4 IPS |
