OnePlus 6T
Geekbench AI Score
15
Single Precision Score
15
Half Precision Score
9
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | crypt3r |
| Upload Date | September 22 2025 01:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 845 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus 6T |
| Model ID | OnePlus ONEPLUS A6013 |
| Motherboard | sdm845 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 6 part 2050 revision 13 |
| Base Frequency | 1.77 GHz |
| Cluster 1 | 4 Cores @ 1.77 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
2.58 KIPS |
|
|
Image Classification (HP)
|
0% |
0
2.27 KIPS |
|
|
Image Classification (Q)
|
0% |
0
3.52 KIPS |
|
|
Image Segmentation (SP)
|
73% |
15311
264.6 IPS |
|
|
Image Segmentation (HP)
|
73% |
14402
248.9 IPS |
|
|
Image Segmentation (Q)
|
73% |
35730
617.5 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
805.2 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
798.6 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
1.78 KIPS |
|
|
Object Detection (SP)
|
0% |
0
945.5 IPS |
|
|
Object Detection (HP)
|
0% |
0
951.7 IPS |
|
|
Object Detection (Q)
|
0% |
0
817.5 IPS |
|
|
Face Detection (SP)
|
0% |
0
323.5 IPS |
|
|
Face Detection (HP)
|
0% |
0
320.0 IPS |
|
|
Face Detection (Q)
|
0% |
0
518.2 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
885.8 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
806.2 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
739.7 IPS |
|
|
Style Transfer (SP)
|
32% |
128633
1.61 KIPS |
|
|
Style Transfer (HP)
|
32% |
126725
1.59 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
3.55 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.66 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
262
3.09 KIPS |
|
|
Text Classification (SP)
|
29% |
371
6.40 KIPS |
|
|
Text Classification (HP)
|
29% |
364
6.28 KIPS |
|
|
Text Classification (Q)
|
29% |
389
6.72 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
6.98 IPS |
|
|
Machine Translation (HP)
|
0% |
0
6.08 IPS |
|
|
Machine Translation (Q)
|
0% |
0
5.71 IPS |
