Xiaomi 11T Pro
Geekbench AI Score
321
Single Precision Score
313
Half Precision Score
623
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ttam |
| Upload Date | December 06 2024 08:01 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 11T Pro |
| Model ID | Xiaomi 2107113SG |
| Motherboard | vili |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Odin |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
181
33.6 IPS |
|
|
Image Classification (HP)
|
100% |
156
29.1 IPS |
|
|
Image Classification (Q)
|
100% |
473
87.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
185
3.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
177
2.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
512
8.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
624
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
642
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
1094
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
83% |
486
39.3 IPS |
|
|
Face Detection (SP)
|
100% |
374
4.45 IPS |
|
|
Face Detection (HP)
|
100% |
374
4.44 IPS |
|
|
Face Detection (Q)
|
95% |
925
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
538
4.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
514
3.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
1060
9.71 IPS |
|
|
Style Transfer (SP)
|
89% |
1116
1.45 IPS |
|
|
Style Transfer (HP)
|
89% |
1120
1.45 IPS |
|
|
Style Transfer (Q)
|
98% |
2489
3.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
322
11.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
626
23.2 IPS |
|
|
Text Classification (SP)
|
100% |
186
248.6 IPS |
|
|
Text Classification (HP)
|
100% |
177
235.6 IPS |
|
|
Text Classification (Q)
|
88% |
286
385.3 IPS |
|
|
Machine Translation (SP)
|
100% |
251
4.33 IPS |
|
|
Machine Translation (HP)
|
100% |
243
4.18 IPS |
|
|
Machine Translation (Q)
|
50% |
159
5.63 IPS |
