OnePlus 10T
Geekbench AI Score
1087
Single Precision Score
1609
Half Precision Score
1444
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 08:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus 10T |
| Model ID | OnePlus CPH2415 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
689
128.2 IPS |
|
|
Image Classification (HP)
|
100% |
1044
194.2 IPS |
|
|
Image Classification (Q)
|
99% |
962
179.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2217
35.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2130
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6590
7.69 IPS |
|
|
Pose Estimation (HP)
|
99% |
11975
14.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
11356
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
573
45.5 IPS |
|
|
Object Detection (HP)
|
99% |
676
53.6 IPS |
|
|
Object Detection (Q)
|
85% |
701
56.4 IPS |
|
|
Face Detection (SP)
|
100% |
1882
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
2971
35.3 IPS |
|
|
Face Detection (Q)
|
97% |
2413
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3018
23.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
4766
36.8 IPS |
|
|
Depth Estimation (Q)
|
65% |
4907
44.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7395
9.51 IPS |
|
|
Style Transfer (HP)
|
100% |
13612
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
14249
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1472
54.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2842
104.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2019
74.8 IPS |
|
|
Text Classification (SP)
|
35% |
28
276.6 IPS |
|
|
Text Classification (HP)
|
35% |
33
296.2 IPS |
|
|
Text Classification (Q)
|
35% |
29
267.9 IPS |
|
|
Machine Translation (SP)
|
100% |
295
5.09 IPS |
|
|
Machine Translation (HP)
|
97% |
345
5.97 IPS |
|
|
Machine Translation (Q)
|
64% |
246
5.05 IPS |
