OnePlus 12
Geekbench AI Score
490
Single Precision Score
21941
Half Precision Score
58128
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 14 2026 04:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
304
56.6 IPS |
|
|
Image Classification (HP)
|
100% |
16802
3.12 KIPS |
|
|
Image Classification (Q)
|
96% |
42069
7.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
375
6.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
10610
172.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
40062
651.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
510
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
77418
90.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
398993
467.0 IPS |
|
|
Object Detection (SP)
|
100% |
290
23.0 IPS |
|
|
Object Detection (HP)
|
100% |
15088
1.20 KIPS |
|
|
Object Detection (Q)
|
86% |
26487
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
708
8.41 IPS |
|
|
Face Detection (HP)
|
100% |
31964
379.8 IPS |
|
|
Face Detection (Q)
|
97% |
124298
1.48 KIPS |
|
|
Depth Estimation (SP)
|
100% |
625
4.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
58579
451.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
145726
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
1018
1.31 IPS |
|
|
Style Transfer (HP)
|
100% |
77743
99.9 IPS |
|
|
Style Transfer (Q)
|
98% |
414303
534.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
336
12.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40739
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103433
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
447
596.6 IPS |
|
|
Text Classification (HP)
|
100% |
3825
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
9943
13.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5475
94.3 IPS |
|
|
Machine Translation (Q)
|
55% |
3204
83.9 IPS |
