OnePlus 10T
Geekbench AI Score
354
Single Precision Score
11241
Half Precision Score
30028
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 11:53 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
215
39.9 IPS |
|
|
Image Classification (HP)
|
100% |
8454
1.57 KIPS |
|
|
Image Classification (Q)
|
99% |
23934
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
271
4.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
6746
109.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19339
314.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
369
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
37791
44.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
226167
265.2 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
7910
627.4 IPS |
|
|
Object Detection (Q)
|
88% |
12249
981.2 IPS |
|
|
Face Detection (SP)
|
100% |
555
6.60 IPS |
|
|
Face Detection (HP)
|
100% |
18533
220.2 IPS |
|
|
Face Detection (Q)
|
97% |
74526
888.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
461
3.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
28393
219.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
67070
617.5 IPS |
|
|
Style Transfer (SP)
|
100% |
774
0.99 IPS |
|
|
Style Transfer (HP)
|
98% |
39409
50.8 IPS |
|
|
Style Transfer (Q)
|
98% |
227942
293.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
226
8.35 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21743
802.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
73026
2.71 KIPS |
|
|
Text Classification (SP)
|
100% |
312
416.5 IPS |
|
|
Text Classification (HP)
|
100% |
1889
2.52 KIPS |
|
|
Text Classification (Q)
|
94% |
4449
5.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
506
8.71 IPS |
|
|
Machine Translation (HP)
|
100% |
2220
38.2 IPS |
|
|
Machine Translation (Q)
|
50% |
1256
43.5 IPS |
