Xiaomi 21051182G
Geekbench AI Score
726
Single Precision Score
712
Half Precision Score
1222
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | rgba |
| Upload Date | September 07 2024 08:20 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
364
67.6 IPS |
|
|
Image Classification (HP)
|
100% |
298
55.5 IPS |
|
|
Image Classification (Q)
|
100% |
1035
192.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
478
7.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
473
7.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
1177
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1854
2.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1856
2.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
3017
3.58 IPS |
|
|
Object Detection (SP)
|
100% |
402
31.9 IPS |
|
|
Object Detection (HP)
|
100% |
409
32.5 IPS |
|
|
Object Detection (Q)
|
83% |
1189
96.1 IPS |
|
|
Face Detection (SP)
|
100% |
1344
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
1351
16.1 IPS |
|
|
Face Detection (Q)
|
95% |
2770
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1607
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1657
12.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2702
24.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3284
4.26 IPS |
|
|
Style Transfer (HP)
|
89% |
3337
4.33 IPS |
|
|
Style Transfer (Q)
|
98% |
6884
8.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
938
34.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
892
33.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
633
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
169
224.9 IPS |
|
|
Text Classification (HP)
|
100% |
169
225.7 IPS |
|
|
Text Classification (Q)
|
88% |
285
383.8 IPS |
|
|
Machine Translation (SP)
|
100% |
280
4.83 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.81 IPS |
|
|
Machine Translation (Q)
|
50% |
183
6.50 IPS |
