OnePlus 12
Geekbench AI Score
2365
Single Precision Score
2390
Half Precision Score
3699
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 04:25 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 | 22.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1709
317.9 IPS |
|
|
Image Classification (HP)
|
100% |
1719
319.7 IPS |
|
|
Image Classification (Q)
|
100% |
2995
557.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2248
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2257
36.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3569
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3553
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3430
4.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
7453
8.84 IPS |
|
|
Object Detection (SP)
|
98% |
1705
135.7 IPS |
|
|
Object Detection (HP)
|
98% |
1745
138.8 IPS |
|
|
Object Detection (Q)
|
83% |
2611
210.9 IPS |
|
|
Face Detection (SP)
|
100% |
3603
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
3667
43.6 IPS |
|
|
Face Detection (Q)
|
95% |
5925
70.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3348
25.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3522
27.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4854
44.5 IPS |
|
|
Style Transfer (SP)
|
89% |
8386
10.9 IPS |
|
|
Style Transfer (HP)
|
89% |
8195
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16601
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1894
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1998
73.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4504
166.9 IPS |
|
|
Text Classification (SP)
|
100% |
851
1.14 KIPS |
|
|
Text Classification (HP)
|
99% |
880
1.17 KIPS |
|
|
Text Classification (Q)
|
88% |
1383
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1444
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1411
24.3 IPS |
|
|
Machine Translation (Q)
|
50% |
777
27.6 IPS |
