motorola motorola edge plus 2023
Geekbench AI Score
1446
Single Precision Score
2384
Half Precision Score
1933
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Michaelandroid |
| Upload Date | August 28 2025 12:29 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola edge plus 2023 |
| Model ID | motorola motorola edge plus 2023 |
| Motherboard | rtwo |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
858
159.5 IPS |
|
|
Image Classification (HP)
|
100% |
1457
271.0 IPS |
|
|
Image Classification (Q)
|
99% |
1322
246.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1846
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3451
56.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2597
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7197
8.40 IPS |
|
|
Pose Estimation (HP)
|
99% |
13552
15.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
13399
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
727
57.7 IPS |
|
|
Object Detection (HP)
|
99% |
1259
99.9 IPS |
|
|
Object Detection (Q)
|
82% |
1090
88.2 IPS |
|
|
Face Detection (SP)
|
100% |
2865
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
5122
60.9 IPS |
|
|
Face Detection (Q)
|
97% |
4382
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4092
31.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5805
44.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
4385
41.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9346
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19161
24.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19340
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1881
69.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2672
98.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2757
102.2 IPS |
|
|
Text Classification (SP)
|
35% |
39
380.8 IPS |
|
|
Text Classification (HP)
|
35% |
63
568.5 IPS |
|
|
Text Classification (Q)
|
35% |
52
503.9 IPS |
|
|
Machine Translation (SP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (HP)
|
97% |
721
12.5 IPS |
|
|
Machine Translation (Q)
|
49% |
274
10.3 IPS |
