OnePlus 12
Geekbench AI Score
2837
Single Precision Score
2850
Half Precision Score
4660
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 10:18 PM |
| Views | 2 |
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% |
1809
336.4 IPS |
|
|
Image Classification (HP)
|
100% |
1832
340.7 IPS |
|
|
Image Classification (Q)
|
100% |
3535
657.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2454
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2494
40.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3913
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4392
5.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
4400
5.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
10236
12.1 IPS |
|
|
Object Detection (SP)
|
98% |
2204
175.4 IPS |
|
|
Object Detection (HP)
|
98% |
2212
176.0 IPS |
|
|
Object Detection (Q)
|
83% |
3074
248.3 IPS |
|
|
Face Detection (SP)
|
100% |
4032
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
4028
47.9 IPS |
|
|
Face Detection (Q)
|
95% |
7504
89.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4377
33.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4299
33.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
7223
66.2 IPS |
|
|
Style Transfer (SP)
|
89% |
10260
13.3 IPS |
|
|
Style Transfer (HP)
|
89% |
10250
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20979
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2238
82.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2251
83.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5289
196.0 IPS |
|
|
Text Classification (SP)
|
100% |
1007
1.34 KIPS |
|
|
Text Classification (HP)
|
99% |
1048
1.40 KIPS |
|
|
Text Classification (Q)
|
88% |
1800
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1927
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1899
32.7 IPS |
|
|
Machine Translation (Q)
|
50% |
1025
36.4 IPS |
