Xiaomi 2201117SY
Geekbench AI Score
466
Single Precision Score
448
Half Precision Score
865
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | December 09 2025 08:58 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6781 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 2201117SY |
| Model ID | Xiaomi 2201117SY |
| Motherboard | fleur |
| CPU Information | |
|---|---|
| Name | ARM MT6781 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.05 GHz |
| Memory Information | |
|---|---|
| Size | 5.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
209
38.9 IPS |
|
|
Image Classification (HP)
|
100% |
210
39.1 IPS |
|
|
Image Classification (Q)
|
100% |
566
105.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
262
4.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
261
4.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
679
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1023
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
999
1.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
1529
1.81 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (Q)
|
83% |
454
36.7 IPS |
|
|
Face Detection (SP)
|
100% |
673
8.00 IPS |
|
|
Face Detection (HP)
|
100% |
433
5.14 IPS |
|
|
Face Detection (Q)
|
95% |
1396
16.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
820
6.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
877
6.76 IPS |
|
|
Depth Estimation (Q)
|
64% |
1423
13.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1645
2.14 IPS |
|
|
Style Transfer (HP)
|
89% |
1664
2.16 IPS |
|
|
Style Transfer (Q)
|
98% |
3533
4.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
415
15.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
430
15.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
826
30.6 IPS |
|
|
Text Classification (SP)
|
100% |
260
346.7 IPS |
|
|
Text Classification (HP)
|
100% |
242
322.6 IPS |
|
|
Text Classification (Q)
|
88% |
482
650.2 IPS |
|
|
Machine Translation (SP)
|
100% |
427
7.36 IPS |
|
|
Machine Translation (HP)
|
100% |
439
7.56 IPS |
|
|
Machine Translation (Q)
|
50% |
318
11.3 IPS |
