OnePlus 6T
Geekbench AI Score
522
Single Precision Score
731
Half Precision Score
660
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | crypt3r |
| Upload Date | September 22 2025 01:56 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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)
|
100% |
377
70.1 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.7 IPS |
|
|
Image Classification (Q)
|
99% |
470
87.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
607
9.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
828
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
712
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2510
2.93 IPS |
|
|
Pose Estimation (HP)
|
99% |
3777
4.41 IPS |
|
|
Pose Estimation (Q)
|
97% |
3683
4.31 IPS |
|
|
Object Detection (SP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (HP)
|
99% |
378
30.0 IPS |
|
|
Object Detection (Q)
|
85% |
349
28.1 IPS |
|
|
Face Detection (SP)
|
100% |
980
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
1328
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
1187
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1301
10.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
1899
14.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1563
14.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3261
4.19 IPS |
|
|
Style Transfer (HP)
|
100% |
5504
7.08 IPS |
|
|
Style Transfer (Q)
|
98% |
5339
6.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
576
21.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
762
28.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
772
28.6 IPS |
|
|
Text Classification (SP)
|
35% |
23
221.8 IPS |
|
|
Text Classification (HP)
|
35% |
38
344.2 IPS |
|
|
Text Classification (Q)
|
35% |
37
334.8 IPS |
|
|
Machine Translation (SP)
|
100% |
169
2.92 IPS |
|
|
Machine Translation (HP)
|
97% |
179
3.09 IPS |
|
|
Machine Translation (Q)
|
64% |
130
2.67 IPS |
