motorola motorola edge 40
Geekbench AI Score
430
Single Precision Score
418
Half Precision Score
882
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Nicholas_K |
| Upload Date | September 16 2024 01:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6891Z_Z/CZA |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola motorola edge 40 |
| Model ID | motorola motorola edge 40 |
| Motherboard | lyriq |
| CPU Information | |
|---|---|
| Name | ARM MT6891Z_Z/CZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
137
25.5 IPS |
|
|
Image Classification (HP)
|
100% |
104
19.3 IPS |
|
|
Image Classification (Q)
|
100% |
400
74.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
118
1.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
129
2.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
406
6.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
443
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1337
1.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
2295
2.72 IPS |
|
|
Object Detection (SP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (HP)
|
100% |
277
21.9 IPS |
|
|
Object Detection (Q)
|
83% |
859
69.4 IPS |
|
|
Face Detection (SP)
|
100% |
913
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
850
10.1 IPS |
|
|
Face Detection (Q)
|
95% |
1418
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1027
7.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
1048
8.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
1914
17.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1737
2.25 IPS |
|
|
Style Transfer (HP)
|
89% |
1566
2.03 IPS |
|
|
Style Transfer (Q)
|
98% |
5111
6.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
577
21.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
480
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1126
41.7 IPS |
|
|
Text Classification (SP)
|
100% |
258
344.3 IPS |
|
|
Text Classification (HP)
|
100% |
114
152.2 IPS |
|
|
Text Classification (Q)
|
88% |
282
380.0 IPS |
|
|
Machine Translation (SP)
|
100% |
447
7.70 IPS |
|
|
Machine Translation (HP)
|
100% |
433
7.45 IPS |
|
|
Machine Translation (Q)
|
50% |
203
7.21 IPS |
