meizu MEIZU 21 Pro
Geekbench AI Score
261
Single Precision Score
19975
Half Precision Score
49182
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | xmdhs |
| Upload Date | January 03 2025 06:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | meizu MEIZU 21 Pro |
| Model ID | meizu MEIZU 21 Pro |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
150
27.9 IPS |
|
|
Image Classification (HP)
|
100% |
15073
2.80 KIPS |
|
|
Image Classification (Q)
|
97% |
42029
7.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
202
3.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
10210
165.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
29592
481.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
259
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
76619
89.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
394122
461.3 IPS |
|
|
Object Detection (SP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (HP)
|
100% |
13709
1.09 KIPS |
|
|
Object Detection (Q)
|
86% |
18648
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
447
5.31 IPS |
|
|
Face Detection (HP)
|
100% |
30025
356.8 IPS |
|
|
Face Detection (Q)
|
97% |
105493
1.26 KIPS |
|
|
Depth Estimation (SP)
|
100% |
354
2.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
57592
443.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
113289
1.06 KIPS |
|
|
Style Transfer (SP)
|
100% |
634
0.82 IPS |
|
|
Style Transfer (HP)
|
98% |
82221
106.0 IPS |
|
|
Style Transfer (Q)
|
98% |
421608
543.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
169
6.25 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39351
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
104116
3.86 KIPS |
|
|
Text Classification (SP)
|
100% |
204
272.9 IPS |
|
|
Text Classification (HP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6935
9.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
368
6.35 IPS |
|
|
Machine Translation (HP)
|
100% |
3503
60.3 IPS |
|
|
Machine Translation (Q)
|
55% |
2490
65.2 IPS |
