OnePlus 8T
Geekbench AI Score
387
Single Precision Score
654
Half Precision Score
676
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 05:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
252
46.8 IPS |
|
|
Image Classification (HP)
|
100% |
360
67.0 IPS |
|
|
Image Classification (Q)
|
97% |
360
67.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
337
5.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
733
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
743
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
492
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
878
1.02 IPS |
|
|
Pose Estimation (Q)
|
95% |
979
1.15 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (Q)
|
89% |
313
25.1 IPS |
|
|
Face Detection (SP)
|
100% |
620
7.36 IPS |
|
|
Face Detection (HP)
|
100% |
1252
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
1292
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
583
4.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
1139
8.80 IPS |
|
|
Depth Estimation (Q)
|
62% |
914
8.66 IPS |
|
|
Style Transfer (SP)
|
100% |
1114
1.43 IPS |
|
|
Style Transfer (HP)
|
100% |
2920
3.75 IPS |
|
|
Style Transfer (Q)
|
98% |
2875
3.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
269
9.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
610
22.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
581
21.5 IPS |
|
|
Text Classification (SP)
|
100% |
226
301.4 IPS |
|
|
Text Classification (HP)
|
100% |
226
301.8 IPS |
|
|
Text Classification (Q)
|
91% |
386
518.7 IPS |
|
|
Machine Translation (SP)
|
100% |
356
6.14 IPS |
|
|
Machine Translation (HP)
|
100% |
366
6.31 IPS |
|
|
Machine Translation (Q)
|
57% |
324
7.91 IPS |
