OnePlus 8T
Geekbench AI Score
251
Single Precision Score
252
Half Precision Score
442
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Ncard00 |
| Upload Date | October 26 2024 01:49 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
155
28.8 IPS |
|
|
Image Classification (HP)
|
100% |
156
29.0 IPS |
|
|
Image Classification (Q)
|
96% |
1287
240.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
203
3.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
1344
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
264
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
265
0.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
13419
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
153
12.2 IPS |
|
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
84% |
1415
114.1 IPS |
|
|
Face Detection (SP)
|
100% |
374
4.44 IPS |
|
|
Face Detection (HP)
|
100% |
378
4.50 IPS |
|
|
Face Detection (Q)
|
97% |
2321
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
314
2.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
314
2.42 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
52.5 IPS |
|
|
Style Transfer (SP)
|
100% |
524
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
519
0.67 IPS |
|
|
Style Transfer (Q)
|
98% |
19149
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
158
5.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
158
5.83 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
593
22.0 IPS |
|
|
Text Classification (SP)
|
100% |
229
305.3 IPS |
|
|
Text Classification (HP)
|
100% |
229
306.0 IPS |
|
|
Text Classification (Q)
|
93% |
333
447.7 IPS |
|
|
Machine Translation (SP)
|
100% |
365
6.28 IPS |
|
|
Machine Translation (HP)
|
100% |
368
6.34 IPS |
|
|
Machine Translation (Q)
|
0% |
0
2.32 IPS |
