MEIZU Mblu 21
Geekbench AI Score
371
Single Precision Score
371
Half Precision Score
660
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 11:56 AM |
| Views | 7 |
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 | 5.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
186
34.7 IPS |
|
|
Image Classification (HP)
|
100% |
184
34.3 IPS |
|
|
Image Classification (Q)
|
100% |
470
87.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
223
3.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
580
9.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
843
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
830
0.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
1352
1.60 IPS |
|
|
Object Detection (SP)
|
100% |
200
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (Q)
|
83% |
462
37.3 IPS |
|
|
Face Detection (SP)
|
100% |
465
5.53 IPS |
|
|
Face Detection (HP)
|
100% |
461
5.48 IPS |
|
|
Face Detection (Q)
|
95% |
1165
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
602
4.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
624
4.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
1225
11.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1618
2.10 IPS |
|
|
Style Transfer (HP)
|
89% |
1622
2.11 IPS |
|
|
Style Transfer (Q)
|
98% |
3138
4.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
322
11.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
324
11.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
708
26.2 IPS |
|
|
Text Classification (SP)
|
100% |
176
234.3 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.0 IPS |
|
|
Text Classification (Q)
|
88% |
226
304.4 IPS |
|
|
Machine Translation (SP)
|
100% |
284
4.89 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (Q)
|
50% |
130
4.61 IPS |
