OnePlus 8T
Geekbench AI Score
1068
Single Precision Score
1049
Half Precision Score
2032
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 21 2025 08:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
522
97.2 IPS |
|
|
Image Classification (HP)
|
100% |
551
102.5 IPS |
|
|
Image Classification (Q)
|
100% |
1500
278.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
667
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1702
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2163
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2020
2.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
3650
4.33 IPS |
|
|
Object Detection (SP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (HP)
|
100% |
515
40.8 IPS |
|
|
Object Detection (Q)
|
83% |
1414
114.2 IPS |
|
|
Face Detection (SP)
|
100% |
1592
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
1539
18.3 IPS |
|
|
Face Detection (Q)
|
95% |
3471
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1534
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1518
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3492
32.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3880
5.04 IPS |
|
|
Style Transfer (HP)
|
89% |
3780
4.91 IPS |
|
|
Style Transfer (Q)
|
98% |
8503
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1102
40.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1069
39.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2095
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
577
770.7 IPS |
|
|
Text Classification (HP)
|
100% |
571
762.4 IPS |
|
|
Text Classification (Q)
|
88% |
928
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (Q)
|
50% |
456
16.2 IPS |
