OnePlus 10T
Geekbench AI Score
662
Single Precision Score
887
Half Precision Score
839
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 08:41 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OnePlus 10T |
| Model ID | OnePlus CPH2417 |
| 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 | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
454
84.5 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.7 IPS |
|
|
Image Classification (Q)
|
97% |
336
62.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
972
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
963
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
745
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1302
1.52 IPS |
|
|
Pose Estimation (Q)
|
95% |
1298
1.52 IPS |
|
|
Object Detection (SP)
|
100% |
422
33.5 IPS |
|
|
Object Detection (HP)
|
100% |
497
39.4 IPS |
|
|
Object Detection (Q)
|
86% |
536
43.1 IPS |
|
|
Face Detection (SP)
|
100% |
1511
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
1735
20.6 IPS |
|
|
Face Detection (Q)
|
97% |
1256
15.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1127
8.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
2407
18.5 IPS |
|
|
Depth Estimation (Q)
|
75% |
2198
17.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2928
3.76 IPS |
|
|
Style Transfer (HP)
|
100% |
6489
8.34 IPS |
|
|
Style Transfer (Q)
|
98% |
6479
8.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
379
14.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
474
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
464
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
189
252.1 IPS |
|
|
Text Classification (HP)
|
100% |
188
251.1 IPS |
|
|
Text Classification (Q)
|
91% |
332
445.6 IPS |
|
|
Machine Translation (SP)
|
100% |
328
5.65 IPS |
|
|
Machine Translation (HP)
|
100% |
332
5.71 IPS |
|
|
Machine Translation (Q)
|
57% |
279
6.81 IPS |
