Xiaomi 21051182G
Geekbench AI Score
226
Single Precision Score
159
Half Precision Score
665
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | rgba |
| Upload Date | September 07 2024 09:04 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 21051182G |
| Model ID | Xiaomi 21051182G |
| Motherboard | nabu |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.96 GHz |
| Memory Information | |
|---|---|
| Size | 5.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
387
72.0 IPS |
|
|
Image Classification (HP)
|
100% |
542
100.8 IPS |
|
|
Image Classification (Q)
|
97% |
499
93.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
367
5.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
39
0.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
476
7.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
1412
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3303
3.85 IPS |
|
|
Pose Estimation (Q)
|
97% |
10351
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
342
27.1 IPS |
|
|
Object Detection (HP)
|
100% |
35
2.77 IPS |
|
|
Object Detection (Q)
|
85% |
958
77.1 IPS |
|
|
Face Detection (SP)
|
100% |
844
10.0 IPS |
|
|
Face Detection (HP)
|
100% |
74
0.88 IPS |
|
|
Face Detection (Q)
|
97% |
2634
31.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
175
1.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
81
0.63 IPS |
|
|
Depth Estimation (Q)
|
22% |
207
47.4 IPS |
|
|
Style Transfer (SP)
|
100% |
219
0.28 IPS |
|
|
Style Transfer (HP)
|
100% |
147
0.19 IPS |
|
|
Style Transfer (Q)
|
98% |
968
1.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
726
26.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1000
36.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4032
149.4 IPS |
|
|
Text Classification (SP)
|
71% |
3
3.94 IPS |
|
|
Text Classification (HP)
|
100% |
54
71.9 IPS |
|
|
Text Classification (Q)
|
93% |
51
68.8 IPS |
|
|
Machine Translation (SP)
|
100% |
75
1.30 IPS |
|
|
Machine Translation (HP)
|
100% |
93
1.61 IPS |
|
|
Machine Translation (Q)
|
54% |
67
1.89 IPS |
