OnePlus 10T
Geekbench AI Score
222
Single Precision Score
10975
Half Precision Score
28889
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | gero39 |
| Upload Date | December 24 2024 05:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus 10T |
| Model ID | OnePlus CPH2413 |
| 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% |
131
24.4 IPS |
|
|
Image Classification (HP)
|
100% |
8161
1.52 KIPS |
|
|
Image Classification (Q)
|
99% |
22471
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
6586
106.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18801
305.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
228
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
37021
43.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
223657
262.2 IPS |
|
|
Object Detection (SP)
|
100% |
129
10.2 IPS |
|
|
Object Detection (HP)
|
100% |
7702
610.9 IPS |
|
|
Object Detection (Q)
|
88% |
11654
933.5 IPS |
|
|
Face Detection (SP)
|
100% |
350
4.15 IPS |
|
|
Face Detection (HP)
|
100% |
17960
213.4 IPS |
|
|
Face Detection (Q)
|
97% |
71004
846.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
294
2.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
28014
216.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
64717
595.8 IPS |
|
|
Style Transfer (SP)
|
100% |
514
0.66 IPS |
|
|
Style Transfer (HP)
|
98% |
39707
51.2 IPS |
|
|
Style Transfer (Q)
|
98% |
224450
289.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
144
5.31 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21458
792.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
70164
2.60 KIPS |
|
|
Text Classification (SP)
|
100% |
185
246.4 IPS |
|
|
Text Classification (HP)
|
100% |
1843
2.46 KIPS |
|
|
Text Classification (Q)
|
94% |
4238
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
320
5.51 IPS |
|
|
Machine Translation (HP)
|
100% |
2095
36.1 IPS |
|
|
Machine Translation (Q)
|
50% |
1199
41.5 IPS |
