OnePlus 12
Geekbench AI Score
474
Single Precision Score
473
Half Precision Score
1089
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 08 2025 05:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
297
55.2 IPS |
|
|
Image Classification (HP)
|
100% |
291
54.2 IPS |
|
|
Image Classification (Q)
|
99% |
781
145.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
372
6.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
375
6.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
766
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
495
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
486
0.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
1899
2.22 IPS |
|
|
Object Detection (SP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (HP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (Q)
|
87% |
821
65.9 IPS |
|
|
Face Detection (SP)
|
100% |
692
8.23 IPS |
|
|
Face Detection (HP)
|
100% |
693
8.24 IPS |
|
|
Face Detection (Q)
|
97% |
1627
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
613
4.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
614
4.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
1457
13.2 IPS |
|
|
Style Transfer (SP)
|
100% |
978
1.26 IPS |
|
|
Style Transfer (HP)
|
100% |
975
1.25 IPS |
|
|
Style Transfer (Q)
|
98% |
2421
3.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
320
11.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1101
40.8 IPS |
|
|
Text Classification (SP)
|
100% |
425
567.6 IPS |
|
|
Text Classification (HP)
|
100% |
431
574.8 IPS |
|
|
Text Classification (Q)
|
91% |
706
949.6 IPS |
|
|
Machine Translation (SP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (Q)
|
57% |
565
13.8 IPS |
