Xiaomi 2201117TY
Geekbench AI Score
75
Single Precision Score
120
Half Precision Score
557
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Phizzle |
| Upload Date | February 13 2025 08:29 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 2201117TY |
| Model ID | Xiaomi 2201117TY |
| Motherboard | spesn |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
82
15.3 IPS |
|
|
Image Classification (HP)
|
100% |
104
19.3 IPS |
|
|
Image Classification (Q)
|
97% |
468
87.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
100
1.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
67
1.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
545
8.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
176
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
336
0.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
3160
3.70 IPS |
|
|
Object Detection (SP)
|
100% |
55
4.38 IPS |
|
|
Object Detection (HP)
|
100% |
50
3.94 IPS |
|
|
Object Detection (Q)
|
85% |
452
36.4 IPS |
|
|
Face Detection (SP)
|
100% |
192
2.29 IPS |
|
|
Face Detection (HP)
|
100% |
130
1.54 IPS |
|
|
Face Detection (Q)
|
97% |
1339
16.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
142
1.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
114
0.88 IPS |
|
|
Depth Estimation (Q)
|
63% |
2068
19.3 IPS |
|
|
Style Transfer (SP)
|
100% |
231
0.30 IPS |
|
|
Style Transfer (HP)
|
100% |
208
0.27 IPS |
|
|
Style Transfer (Q)
|
98% |
1128
1.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
112
4.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
195
7.19 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1436
53.2 IPS |
|
|
Text Classification (SP)
|
71% |
3
4.33 IPS |
|
|
Text Classification (HP)
|
100% |
71
95.3 IPS |
|
|
Text Classification (Q)
|
93% |
33
44.7 IPS |
|
|
Machine Translation (SP)
|
100% |
36
0.61 IPS |
|
|
Machine Translation (HP)
|
100% |
124
2.14 IPS |
|
|
Machine Translation (Q)
|
54% |
54
1.52 IPS |
