OnePlus 12
Geekbench AI Score
253
Single Precision Score
19647
Half Precision Score
47033
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | tuldok89 |
| Upload Date | August 25 2025 05:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
231
43.0 IPS |
|
|
Image Classification (HP)
|
100% |
16434
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
41027
7.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
10707
173.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
31143
506.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
384
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
75443
88.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
392246
459.1 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.98 IPS |
|
|
Object Detection (HP)
|
100% |
12983
1.03 KIPS |
|
|
Object Detection (Q)
|
86% |
17589
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
340
4.04 IPS |
|
|
Face Detection (HP)
|
100% |
27831
330.7 IPS |
|
|
Face Detection (Q)
|
97% |
90537
1.08 KIPS |
|
|
Depth Estimation (SP)
|
100% |
270
2.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
55066
424.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
101654
951.9 IPS |
|
|
Style Transfer (SP)
|
100% |
680
0.87 IPS |
|
|
Style Transfer (HP)
|
98% |
81625
105.3 IPS |
|
|
Style Transfer (Q)
|
98% |
415813
536.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
127
4.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38501
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
101572
3.76 KIPS |
|
|
Text Classification (SP)
|
100% |
156
208.5 IPS |
|
|
Text Classification (HP)
|
100% |
3149
4.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6615
8.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
292
5.02 IPS |
|
|
Machine Translation (HP)
|
100% |
3279
56.5 IPS |
|
|
Machine Translation (Q)
|
55% |
2337
61.2 IPS |
