Xiaomi M2004J19C
Geekbench AI Score
217
Single Precision Score
216
Half Precision Score
310
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 11:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6769T |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi M2004J19C |
| Model ID | Xiaomi M2004J19C |
| Motherboard | galahad |
| CPU Information | |
|---|---|
| Name | ARM MT6769T |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
98
18.2 IPS |
|
|
Image Classification (HP)
|
100% |
94
17.4 IPS |
|
|
Image Classification (Q)
|
100% |
196
36.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
112
1.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
116
1.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
261
4.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
461
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
463
0.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
413
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
97
7.67 IPS |
|
|
Object Detection (HP)
|
100% |
94
7.46 IPS |
|
|
Object Detection (Q)
|
83% |
195
15.7 IPS |
|
|
Face Detection (SP)
|
100% |
299
3.55 IPS |
|
|
Face Detection (HP)
|
100% |
306
3.64 IPS |
|
|
Face Detection (Q)
|
95% |
566
6.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
397
3.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
395
3.04 IPS |
|
|
Depth Estimation (Q)
|
64% |
457
4.18 IPS |
|
|
Style Transfer (SP)
|
89% |
802
1.04 IPS |
|
|
Style Transfer (HP)
|
89% |
809
1.05 IPS |
|
|
Style Transfer (Q)
|
98% |
1117
1.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
192
7.08 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
194
7.15 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
237
8.77 IPS |
|
|
Text Classification (SP)
|
100% |
121
161.2 IPS |
|
|
Text Classification (HP)
|
100% |
112
149.1 IPS |
|
|
Text Classification (Q)
|
88% |
195
263.2 IPS |
|
|
Machine Translation (SP)
|
100% |
223
3.84 IPS |
|
|
Machine Translation (HP)
|
100% |
225
3.87 IPS |
|
|
Machine Translation (Q)
|
50% |
150
5.34 IPS |
