Xiaomi 2201117TG
Geekbench AI Score
76
Single Precision Score
117
Half Precision Score
566
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 09:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 2201117TG |
| Model ID | Xiaomi 2201117TG |
| Motherboard | spes |
| 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 | 5.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
81
15.1 IPS |
|
|
Image Classification (HP)
|
100% |
101
18.8 IPS |
|
|
Image Classification (Q)
|
97% |
454
84.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
103
1.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
66
1.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
531
8.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
170
0.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
323
0.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
3140
3.68 IPS |
|
|
Object Detection (SP)
|
100% |
54
4.29 IPS |
|
|
Object Detection (HP)
|
100% |
49
3.86 IPS |
|
|
Object Detection (Q)
|
85% |
426
34.3 IPS |
|
|
Face Detection (SP)
|
100% |
200
2.38 IPS |
|
|
Face Detection (HP)
|
100% |
128
1.52 IPS |
|
|
Face Detection (Q)
|
97% |
1306
15.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
143
1.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
114
0.88 IPS |
|
|
Depth Estimation (Q)
|
63% |
2060
19.2 IPS |
|
|
Style Transfer (SP)
|
100% |
271
0.35 IPS |
|
|
Style Transfer (HP)
|
100% |
212
0.27 IPS |
|
|
Style Transfer (Q)
|
98% |
1147
1.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
108
4.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
189
7.00 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1438
53.3 IPS |
|
|
Text Classification (SP)
|
71% |
2
2.57 IPS |
|
|
Text Classification (HP)
|
100% |
70
93.9 IPS |
|
|
Text Classification (Q)
|
93% |
37
49.7 IPS |
|
|
Machine Translation (SP)
|
100% |
54
0.92 IPS |
|
|
Machine Translation (HP)
|
100% |
120
2.07 IPS |
|
|
Machine Translation (Q)
|
54% |
64
1.79 IPS |
