OnePlus 8T
Geekbench AI Score
1067
Single Precision Score
1051
Half Precision Score
2023
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2025 10:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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% |
519
96.5 IPS |
|
|
Image Classification (HP)
|
100% |
545
101.3 IPS |
|
|
Image Classification (Q)
|
100% |
1443
268.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
651
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1683
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2287
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2069
2.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
3659
4.34 IPS |
|
|
Object Detection (SP)
|
100% |
497
39.4 IPS |
|
|
Object Detection (HP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (Q)
|
83% |
1414
114.2 IPS |
|
|
Face Detection (SP)
|
100% |
1518
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
1515
18.0 IPS |
|
|
Face Detection (Q)
|
95% |
3381
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1789
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1724
13.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3262
29.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3752
4.87 IPS |
|
|
Style Transfer (HP)
|
89% |
3681
4.78 IPS |
|
|
Style Transfer (Q)
|
98% |
8085
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1085
40.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1104
40.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2058
76.3 IPS |
|
|
Text Classification (SP)
|
100% |
555
740.4 IPS |
|
|
Text Classification (HP)
|
100% |
553
737.8 IPS |
|
|
Text Classification (Q)
|
88% |
937
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
770
13.3 IPS |
|
|
Machine Translation (Q)
|
50% |
533
18.9 IPS |
