OnePlus 8T
Geekbench AI Score
429
Single Precision Score
517
Half Precision Score
1867
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 05:22 PM |
| Views | 1 |
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% |
429
79.8 IPS |
|
|
Image Classification (HP)
|
100% |
726
135.0 IPS |
|
|
Image Classification (Q)
|
97% |
1462
272.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
203
3.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
1308
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1427
1.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
5512
6.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
11918
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (HP)
|
100% |
153
12.2 IPS |
|
|
Object Detection (Q)
|
85% |
1656
133.2 IPS |
|
|
Face Detection (SP)
|
100% |
1232
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
375
4.45 IPS |
|
|
Face Detection (Q)
|
97% |
3722
44.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
512
3.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
320
2.47 IPS |
|
|
Depth Estimation (Q)
|
63% |
6368
59.3 IPS |
|
|
Style Transfer (SP)
|
100% |
806
1.04 IPS |
|
|
Style Transfer (HP)
|
100% |
532
0.68 IPS |
|
|
Style Transfer (Q)
|
98% |
4127
5.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
738
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2127
78.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5570
206.4 IPS |
|
|
Text Classification (SP)
|
71% |
12
17.7 IPS |
|
|
Text Classification (HP)
|
100% |
226
302.1 IPS |
|
|
Text Classification (Q)
|
93% |
101
136.2 IPS |
|
|
Machine Translation (SP)
|
100% |
292
5.02 IPS |
|
|
Machine Translation (HP)
|
100% |
360
6.20 IPS |
|
|
Machine Translation (Q)
|
54% |
248
7.00 IPS |
