MEIZU Mblu 21
Geekbench AI Score
355
Single Precision Score
354
Half Precision Score
629
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 10:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | MEIZU Mblu 21 |
| Model ID | MEIZU Mblu 21 |
| Motherboard | ums9230_6h10 |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 8 Cores @ 1.61 GHz |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
172
32.0 IPS |
|
|
Image Classification (HP)
|
100% |
179
33.2 IPS |
|
|
Image Classification (Q)
|
100% |
465
86.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
219
3.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
216
3.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
580
9.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
804
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
812
0.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
1333
1.58 IPS |
|
|
Object Detection (SP)
|
100% |
191
15.1 IPS |
|
|
Object Detection (HP)
|
100% |
192
15.2 IPS |
|
|
Object Detection (Q)
|
83% |
440
35.5 IPS |
|
|
Face Detection (SP)
|
100% |
447
5.31 IPS |
|
|
Face Detection (HP)
|
100% |
451
5.35 IPS |
|
|
Face Detection (Q)
|
95% |
1106
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
589
4.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
583
4.49 IPS |
|
|
Depth Estimation (Q)
|
64% |
1171
10.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1560
2.03 IPS |
|
|
Style Transfer (HP)
|
89% |
1547
2.01 IPS |
|
|
Style Transfer (Q)
|
98% |
3040
3.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
310
11.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
681
25.2 IPS |
|
|
Text Classification (SP)
|
100% |
169
225.4 IPS |
|
|
Text Classification (HP)
|
100% |
161
215.2 IPS |
|
|
Text Classification (Q)
|
88% |
195
263.4 IPS |
|
|
Machine Translation (SP)
|
100% |
258
4.45 IPS |
|
|
Machine Translation (HP)
|
100% |
258
4.45 IPS |
|
|
Machine Translation (Q)
|
50% |
119
4.22 IPS |
