motorola motorola edge 40 neo
Geekbench AI Score
587
Single Precision Score
587
Half Precision Score
1167
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 12:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola motorola edge 40 neo |
| Model ID | motorola motorola edge 40 neo |
| Motherboard | manaus |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
263
48.9 IPS |
|
|
Image Classification (HP)
|
100% |
264
49.1 IPS |
|
|
Image Classification (Q)
|
100% |
796
148.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
329
5.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
324
5.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
854
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1166
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1142
1.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
1924
2.28 IPS |
|
|
Object Detection (SP)
|
100% |
257
20.4 IPS |
|
|
Object Detection (HP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (Q)
|
83% |
776
62.7 IPS |
|
|
Face Detection (SP)
|
100% |
822
9.77 IPS |
|
|
Face Detection (HP)
|
100% |
818
9.72 IPS |
|
|
Face Detection (Q)
|
95% |
1857
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1078
8.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
1121
8.63 IPS |
|
|
Depth Estimation (Q)
|
64% |
1798
16.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2006
2.60 IPS |
|
|
Style Transfer (HP)
|
89% |
2026
2.63 IPS |
|
|
Style Transfer (Q)
|
98% |
4486
5.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
611
22.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
616
22.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1079
40.0 IPS |
|
|
Text Classification (SP)
|
100% |
331
441.9 IPS |
|
|
Text Classification (HP)
|
100% |
329
438.7 IPS |
|
|
Text Classification (Q)
|
88% |
716
965.2 IPS |
|
|
Machine Translation (SP)
|
100% |
530
9.13 IPS |
|
|
Machine Translation (HP)
|
100% |
522
8.99 IPS |
|
|
Machine Translation (Q)
|
50% |
400
14.2 IPS |
