OnePlus 12
Geekbench AI Score
2840
Single Precision Score
2678
Half Precision Score
4508
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 14 2026 05:03 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 | 22.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2310
429.5 IPS |
|
|
Image Classification (HP)
|
100% |
2421
450.3 IPS |
|
|
Image Classification (Q)
|
100% |
3552
660.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2703
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4304
70.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4511
5.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
4377
5.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
9910
11.8 IPS |
|
|
Object Detection (SP)
|
98% |
2185
173.9 IPS |
|
|
Object Detection (HP)
|
98% |
1986
158.0 IPS |
|
|
Object Detection (Q)
|
83% |
3205
258.9 IPS |
|
|
Face Detection (SP)
|
100% |
4377
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
4330
51.5 IPS |
|
|
Face Detection (Q)
|
95% |
7624
91.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3955
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3878
30.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
7129
65.3 IPS |
|
|
Style Transfer (SP)
|
89% |
10214
13.3 IPS |
|
|
Style Transfer (HP)
|
89% |
10156
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19486
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2194
81.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1814
67.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4334
160.6 IPS |
|
|
Text Classification (SP)
|
100% |
888
1.19 KIPS |
|
|
Text Classification (HP)
|
99% |
955
1.27 KIPS |
|
|
Text Classification (Q)
|
88% |
1602
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1613
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1761
30.3 IPS |
|
|
Machine Translation (Q)
|
50% |
971
34.5 IPS |
