Xiaomi M2007J22G
Geekbench AI Score
199
Single Precision Score
274
Half Precision Score
270
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 06:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6853T |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi M2007J22G |
| Model ID | Xiaomi M2007J22G |
| Motherboard | cannong |
| CPU Information | |
|---|---|
| Name | ARM MT6853T |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
138
25.6 IPS |
|
|
Image Classification (HP)
|
100% |
246
45.8 IPS |
|
|
Image Classification (Q)
|
99% |
240
44.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
188
3.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
332
5.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
328
5.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
137
0.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
159
0.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
159
0.19 IPS |
|
|
Object Detection (SP)
|
100% |
99
7.87 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (Q)
|
83% |
153
12.4 IPS |
|
|
Face Detection (SP)
|
100% |
389
4.62 IPS |
|
|
Face Detection (HP)
|
100% |
617
7.33 IPS |
|
|
Face Detection (Q)
|
97% |
567
6.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
251
1.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
326
2.51 IPS |
|
|
Depth Estimation (Q)
|
62% |
264
2.50 IPS |
|
|
Style Transfer (SP)
|
100% |
507
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
689
0.89 IPS |
|
|
Style Transfer (Q)
|
98% |
690
0.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
117
4.32 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
175
6.46 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
171
6.33 IPS |
|
|
Text Classification (SP)
|
100% |
169
225.6 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.2 IPS |
|
|
Text Classification (Q)
|
91% |
274
368.4 IPS |
|
|
Machine Translation (SP)
|
100% |
289
4.98 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (Q)
|
57% |
223
5.45 IPS |
