Xiaomi 2201117TY
Geekbench AI Score
384
Single Precision Score
384
Half Precision Score
480
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Phizzle |
| Upload Date | February 13 2025 08:48 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
176
32.8 IPS |
|
|
Image Classification (HP)
|
100% |
176
32.6 IPS |
|
|
Image Classification (Q)
|
100% |
317
58.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
217
3.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
219
3.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
401
6.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
852
0.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
854
1.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
703
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (Q)
|
83% |
316
25.6 IPS |
|
|
Face Detection (SP)
|
100% |
494
5.87 IPS |
|
|
Face Detection (HP)
|
100% |
495
5.88 IPS |
|
|
Face Detection (Q)
|
95% |
741
8.85 IPS |
|
|
Depth Estimation (SP)
|
100% |
709
5.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
706
5.44 IPS |
|
|
Depth Estimation (Q)
|
64% |
740
6.78 IPS |
|
|
Style Transfer (SP)
|
89% |
1451
1.88 IPS |
|
|
Style Transfer (HP)
|
89% |
1474
1.91 IPS |
|
|
Style Transfer (Q)
|
98% |
1919
2.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
374
13.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
374
13.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
416
15.4 IPS |
|
|
Text Classification (SP)
|
100% |
201
268.0 IPS |
|
|
Text Classification (HP)
|
100% |
199
265.6 IPS |
|
|
Text Classification (Q)
|
88% |
301
405.8 IPS |
|
|
Machine Translation (SP)
|
100% |
331
5.70 IPS |
|
|
Machine Translation (HP)
|
100% |
325
5.60 IPS |
|
|
Machine Translation (Q)
|
50% |
178
6.34 IPS |
