OnePlus 12
Geekbench AI Score
2386
Single Precision Score
2336
Half Precision Score
3752
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 09:01 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% |
1624
302.0 IPS |
|
|
Image Classification (HP)
|
100% |
1755
326.4 IPS |
|
|
Image Classification (Q)
|
100% |
3038
565.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3620
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4158
4.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
4018
4.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
9193
10.9 IPS |
|
|
Object Detection (SP)
|
98% |
1882
149.7 IPS |
|
|
Object Detection (HP)
|
98% |
1865
148.4 IPS |
|
|
Object Detection (Q)
|
83% |
2801
226.2 IPS |
|
|
Face Detection (SP)
|
100% |
3845
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
3850
45.7 IPS |
|
|
Face Detection (Q)
|
95% |
6381
76.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3900
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3096
23.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5530
50.6 IPS |
|
|
Style Transfer (SP)
|
89% |
8263
10.7 IPS |
|
|
Style Transfer (HP)
|
89% |
8291
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
16192
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1622
59.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1616
59.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4022
149.0 IPS |
|
|
Text Classification (SP)
|
100% |
739
986.7 IPS |
|
|
Text Classification (HP)
|
99% |
745
994.8 IPS |
|
|
Text Classification (Q)
|
88% |
1153
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1366
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1343
23.1 IPS |
|
|
Machine Translation (Q)
|
50% |
737
26.2 IPS |
