motorola motorola edge 5G UW (2021)
Geekbench AI Score
528
Single Precision Score
839
Half Precision Score
738
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | 11shihabaheti |
| Upload Date | July 31 2025 02:33 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | motorola motorola edge 5G UW (2021) |
| Model ID | motorola motorola edge 5G UW (2021) |
| Motherboard | berlna |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
383
71.3 IPS |
|
|
Image Classification (HP)
|
100% |
673
125.2 IPS |
|
|
Image Classification (Q)
|
99% |
520
96.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
606
9.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
1102
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
787
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2210
2.58 IPS |
|
|
Pose Estimation (HP)
|
99% |
3923
4.58 IPS |
|
|
Pose Estimation (Q)
|
97% |
3854
4.51 IPS |
|
|
Object Detection (SP)
|
100% |
324
25.7 IPS |
|
|
Object Detection (HP)
|
99% |
446
35.4 IPS |
|
|
Object Detection (Q)
|
85% |
398
32.0 IPS |
|
|
Face Detection (SP)
|
100% |
1051
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1522
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
1468
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1348
10.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2188
16.9 IPS |
|
|
Depth Estimation (Q)
|
65% |
1816
16.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2746
3.53 IPS |
|
|
Style Transfer (HP)
|
100% |
5596
7.19 IPS |
|
|
Style Transfer (Q)
|
98% |
5684
7.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
552
20.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
829
30.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
784
29.1 IPS |
|
|
Text Classification (SP)
|
35% |
21
200.7 IPS |
|
|
Text Classification (HP)
|
35% |
32
295.5 IPS |
|
|
Text Classification (Q)
|
35% |
31
285.4 IPS |
|
|
Machine Translation (SP)
|
100% |
225
3.88 IPS |
|
|
Machine Translation (HP)
|
97% |
271
4.69 IPS |
|
|
Machine Translation (Q)
|
64% |
210
4.31 IPS |
