Xiaomi 11T Pro
Geekbench AI Score
746
Single Precision Score
735
Half Precision Score
1179
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | llluuucccaaaa |
| Upload Date | April 03 2025 08:56 AM |
| Views | 6 |
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 | 7.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
411
76.4 IPS |
|
|
Image Classification (HP)
|
100% |
396
73.7 IPS |
|
|
Image Classification (Q)
|
100% |
1078
200.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
497
8.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
498
8.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
1275
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1914
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1846
2.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
2642
3.13 IPS |
|
|
Object Detection (SP)
|
100% |
394
31.2 IPS |
|
|
Object Detection (HP)
|
100% |
394
31.3 IPS |
|
|
Object Detection (Q)
|
83% |
1095
88.4 IPS |
|
|
Face Detection (SP)
|
100% |
1314
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
1315
15.6 IPS |
|
|
Face Detection (Q)
|
95% |
2624
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1822
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1753
13.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2516
23.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3202
4.16 IPS |
|
|
Style Transfer (HP)
|
89% |
3192
4.14 IPS |
|
|
Style Transfer (Q)
|
98% |
6282
8.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
969
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
965
35.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
648
24.0 IPS |
|
|
Text Classification (SP)
|
100% |
178
237.7 IPS |
|
|
Text Classification (HP)
|
100% |
178
237.2 IPS |
|
|
Text Classification (Q)
|
88% |
288
388.9 IPS |
|
|
Machine Translation (SP)
|
100% |
264
4.56 IPS |
|
|
Machine Translation (HP)
|
100% |
256
4.41 IPS |
|
|
Machine Translation (Q)
|
50% |
170
6.04 IPS |
