OnePlus 12
Geekbench AI Score
2640
Single Precision Score
2672
Half Precision Score
3262
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 07:30 AM |
| 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 | 10.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1666
309.8 IPS |
|
|
Image Classification (HP)
|
100% |
2056
382.4 IPS |
|
|
Image Classification (Q)
|
100% |
2684
499.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2478
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2444
39.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3361
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4209
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
4307
5.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
9766
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
1751
139.3 IPS |
|
|
Object Detection (HP)
|
98% |
1795
142.9 IPS |
|
|
Object Detection (Q)
|
83% |
2131
172.2 IPS |
|
|
Face Detection (SP)
|
100% |
3600
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
3700
44.0 IPS |
|
|
Face Detection (Q)
|
95% |
5440
64.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4346
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3984
30.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5736
52.5 IPS |
|
|
Style Transfer (SP)
|
89% |
10365
13.5 IPS |
|
|
Style Transfer (HP)
|
89% |
10278
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
19872
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1894
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1877
69.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3530
130.8 IPS |
|
|
Text Classification (SP)
|
100% |
968
1.29 KIPS |
|
|
Text Classification (HP)
|
99% |
924
1.23 KIPS |
|
|
Text Classification (Q)
|
88% |
767
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1822
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1820
31.3 IPS |
|
|
Machine Translation (Q)
|
50% |
434
15.4 IPS |
