OnePlus 12
Geekbench AI Score
506
Single Precision Score
20963
Half Precision Score
51263
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 24 2024 01:24 PM |
| Views | 2 |
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 CPH2573 |
| 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 | 14.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
319
59.4 IPS |
|
|
Image Classification (HP)
|
100% |
16644
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
42123
7.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
398
6.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
10786
174.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
31726
515.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
536
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
76941
89.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
398745
466.7 IPS |
|
|
Object Detection (SP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (HP)
|
100% |
14775
1.17 KIPS |
|
|
Object Detection (Q)
|
86% |
20362
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
720
8.55 IPS |
|
|
Face Detection (HP)
|
100% |
33211
394.6 IPS |
|
|
Face Detection (Q)
|
97% |
127015
1.51 KIPS |
|
|
Depth Estimation (SP)
|
100% |
652
5.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
59086
455.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
116288
1.09 KIPS |
|
|
Style Transfer (SP)
|
100% |
1023
1.31 IPS |
|
|
Style Transfer (HP)
|
98% |
82574
106.5 IPS |
|
|
Style Transfer (Q)
|
98% |
421812
543.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
347
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40725
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103334
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
454
606.4 IPS |
|
|
Text Classification (HP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6877
9.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3790
65.3 IPS |
|
|
Machine Translation (Q)
|
55% |
2609
68.4 IPS |
