OnePlus 8T
Geekbench AI Score
388
Single Precision Score
640
Half Precision Score
644
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 21 2024 09:35 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 KB2005 |
| 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 | 11.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
251
46.6 IPS |
|
|
Image Classification (HP)
|
100% |
386
71.8 IPS |
|
|
Image Classification (Q)
|
97% |
357
66.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
642
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
492
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
850
0.99 IPS |
|
|
Pose Estimation (Q)
|
95% |
847
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
200
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (Q)
|
89% |
292
23.4 IPS |
|
|
Face Detection (SP)
|
100% |
655
7.79 IPS |
|
|
Face Detection (HP)
|
100% |
1278
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
1204
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
580
4.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
1126
8.70 IPS |
|
|
Depth Estimation (Q)
|
62% |
917
8.68 IPS |
|
|
Style Transfer (SP)
|
100% |
1111
1.43 IPS |
|
|
Style Transfer (HP)
|
100% |
2871
3.69 IPS |
|
|
Style Transfer (Q)
|
98% |
2841
3.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
268
9.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
567
21.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
560
20.8 IPS |
|
|
Text Classification (SP)
|
100% |
227
303.5 IPS |
|
|
Text Classification (HP)
|
100% |
227
303.2 IPS |
|
|
Text Classification (Q)
|
91% |
385
517.7 IPS |
|
|
Machine Translation (SP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (HP)
|
100% |
361
6.21 IPS |
|
|
Machine Translation (Q)
|
57% |
323
7.89 IPS |
