OnePlus 6T
Geekbench AI Score
264
Single Precision Score
262
Half Precision Score
542
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | crypt3r |
| Upload Date | September 22 2025 02:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
326
60.6 IPS |
|
|
Image Classification (HP)
|
100% |
458
85.2 IPS |
|
|
Image Classification (Q)
|
97% |
561
104.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
363
5.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
97
1.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
794
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
988
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2366
2.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
4201
4.92 IPS |
|
|
Object Detection (SP)
|
100% |
322
25.6 IPS |
|
|
Object Detection (HP)
|
100% |
72
5.73 IPS |
|
|
Object Detection (Q)
|
85% |
613
49.3 IPS |
|
|
Face Detection (SP)
|
100% |
854
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
184
2.19 IPS |
|
|
Face Detection (Q)
|
97% |
1624
19.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
312
2.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
170
1.31 IPS |
|
|
Depth Estimation (Q)
|
22% |
107
24.5 IPS |
|
|
Style Transfer (SP)
|
100% |
534
0.69 IPS |
|
|
Style Transfer (HP)
|
100% |
324
0.42 IPS |
|
|
Style Transfer (Q)
|
98% |
1889
2.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
550
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1046
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1623
60.1 IPS |
|
|
Text Classification (SP)
|
71% |
4
5.23 IPS |
|
|
Text Classification (HP)
|
100% |
104
138.9 IPS |
|
|
Text Classification (Q)
|
93% |
43
58.2 IPS |
|
|
Machine Translation (SP)
|
100% |
141
2.44 IPS |
|
|
Machine Translation (HP)
|
100% |
183
3.16 IPS |
|
|
Machine Translation (Q)
|
54% |
84
2.38 IPS |
