OnePlus 8T
Geekbench AI Score
426
Single Precision Score
512
Half Precision Score
1927
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Ncard00 |
| Upload Date | October 17 2024 02:39 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus 8T |
| Model ID | OnePlus KB2003 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
426
79.1 IPS |
|
|
Image Classification (HP)
|
100% |
725
134.8 IPS |
|
|
Image Classification (Q)
|
97% |
1438
268.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
627
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
1328
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1422
1.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
5474
6.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
11693
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
419
33.2 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (Q)
|
85% |
1691
136.1 IPS |
|
|
Face Detection (SP)
|
100% |
1210
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
370
4.40 IPS |
|
|
Face Detection (Q)
|
97% |
3834
45.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
513
3.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
317
2.44 IPS |
|
|
Depth Estimation (Q)
|
63% |
6437
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
798
1.03 IPS |
|
|
Style Transfer (HP)
|
100% |
520
0.67 IPS |
|
|
Style Transfer (Q)
|
98% |
4043
5.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
736
27.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2092
77.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5279
195.6 IPS |
|
|
Text Classification (SP)
|
71% |
12
17.2 IPS |
|
|
Text Classification (HP)
|
100% |
224
299.2 IPS |
|
|
Text Classification (Q)
|
93% |
146
195.6 IPS |
|
|
Machine Translation (SP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (HP)
|
100% |
361
6.21 IPS |
|
|
Machine Translation (Q)
|
54% |
244
6.88 IPS |
