OnePlus 12
Geekbench AI Score
1777
Single Precision Score
2638
Half Precision Score
1988
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 14 2026 04:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1077
200.4 IPS |
|
|
Image Classification (HP)
|
100% |
1549
288.0 IPS |
|
|
Image Classification (Q)
|
100% |
1358
252.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2378
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4109
66.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2802
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10072
11.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
17745
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
16973
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
880
69.8 IPS |
|
|
Object Detection (HP)
|
99% |
1257
99.7 IPS |
|
|
Object Detection (Q)
|
87% |
1255
100.8 IPS |
|
|
Face Detection (SP)
|
100% |
2951
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
4964
59.0 IPS |
|
|
Face Detection (Q)
|
97% |
3655
43.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4942
38.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
7133
55.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
5547
54.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12161
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23804
30.6 IPS |
|
|
Style Transfer (Q)
|
98% |
22802
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2172
80.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3271
120.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3064
113.5 IPS |
|
|
Text Classification (SP)
|
35% |
38
370.3 IPS |
|
|
Text Classification (HP)
|
35% |
48
438.3 IPS |
|
|
Text Classification (Q)
|
33% |
35
418.2 IPS |
|
|
Machine Translation (SP)
|
100% |
945
16.3 IPS |
|
|
Machine Translation (HP)
|
97% |
869
15.0 IPS |
|
|
Machine Translation (Q)
|
43% |
241
13.7 IPS |
