OnePlus 12
Geekbench AI Score
2732
Single Precision Score
2816
Half Precision Score
4519
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 01 2025 01:49 PM |
| 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 | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1841
342.3 IPS |
|
|
Image Classification (HP)
|
100% |
2194
408.0 IPS |
|
|
Image Classification (Q)
|
100% |
3307
615.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2457
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2442
39.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3815
62.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4439
5.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4385
5.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
9747
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
2052
163.3 IPS |
|
|
Object Detection (HP)
|
98% |
2206
175.5 IPS |
|
|
Object Detection (Q)
|
83% |
3110
251.2 IPS |
|
|
Face Detection (SP)
|
100% |
3920
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
3903
46.4 IPS |
|
|
Face Detection (Q)
|
95% |
7573
90.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3980
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3879
30.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
7040
64.5 IPS |
|
|
Style Transfer (SP)
|
89% |
10058
13.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9970
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20147
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2063
76.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2092
77.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5379
199.3 IPS |
|
|
Text Classification (SP)
|
100% |
1034
1.38 KIPS |
|
|
Text Classification (HP)
|
99% |
1031
1.38 KIPS |
|
|
Text Classification (Q)
|
88% |
1605
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1680
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1862
32.1 IPS |
|
|
Machine Translation (Q)
|
50% |
1003
35.6 IPS |
