OnePlus 8T
Geekbench AI Score
400
Single Precision Score
666
Half Precision Score
695
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Ncard00 |
| Upload Date | October 17 2024 02:30 PM |
| Views | 8 |
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% |
256
47.6 IPS |
|
|
Image Classification (HP)
|
100% |
375
69.8 IPS |
|
|
Image Classification (Q)
|
97% |
384
71.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
368
5.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
763
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
767
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
493
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
730
0.85 IPS |
|
|
Pose Estimation (Q)
|
95% |
813
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
333
26.4 IPS |
|
|
Object Detection (Q)
|
89% |
349
28.0 IPS |
|
|
Face Detection (SP)
|
100% |
679
8.06 IPS |
|
|
Face Detection (HP)
|
100% |
1414
16.8 IPS |
|
|
Face Detection (Q)
|
97% |
1465
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
588
4.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
1154
8.91 IPS |
|
|
Depth Estimation (Q)
|
62% |
946
8.96 IPS |
|
|
Style Transfer (SP)
|
100% |
1120
1.44 IPS |
|
|
Style Transfer (HP)
|
100% |
2959
3.80 IPS |
|
|
Style Transfer (Q)
|
98% |
2937
3.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
281
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
639
23.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
630
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
224
298.7 IPS |
|
|
Text Classification (HP)
|
100% |
224
298.8 IPS |
|
|
Text Classification (Q)
|
91% |
385
516.9 IPS |
|
|
Machine Translation (SP)
|
100% |
356
6.13 IPS |
|
|
Machine Translation (HP)
|
100% |
361
6.21 IPS |
|
|
Machine Translation (Q)
|
57% |
321
7.86 IPS |
