motorola motorola edge 40 neo
Geekbench AI Score
585
Single Precision Score
585
Half Precision Score
1181
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 25 2024 10:26 AM |
| Views | 7 |
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 | 11.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
269
50.0 IPS |
|
|
Image Classification (HP)
|
100% |
269
50.0 IPS |
|
|
Image Classification (Q)
|
100% |
793
147.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
322
5.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
323
5.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
862
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1158
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1145
1.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
1925
2.28 IPS |
|
|
Object Detection (SP)
|
100% |
257
20.4 IPS |
|
|
Object Detection (HP)
|
100% |
257
20.4 IPS |
|
|
Object Detection (Q)
|
87% |
795
63.9 IPS |
|
|
Face Detection (SP)
|
100% |
811
9.64 IPS |
|
|
Face Detection (HP)
|
100% |
810
9.62 IPS |
|
|
Face Detection (Q)
|
95% |
1843
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1088
8.38 IPS |
|
|
Depth Estimation (HP)
|
100% |
1125
8.66 IPS |
|
|
Depth Estimation (Q)
|
75% |
2053
16.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2000
2.60 IPS |
|
|
Style Transfer (HP)
|
89% |
1986
2.58 IPS |
|
|
Style Transfer (Q)
|
98% |
4459
5.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
593
21.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
590
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1079
40.0 IPS |
|
|
Text Classification (SP)
|
100% |
330
440.4 IPS |
|
|
Text Classification (HP)
|
100% |
329
439.1 IPS |
|
|
Text Classification (Q)
|
88% |
705
951.2 IPS |
|
|
Machine Translation (SP)
|
100% |
532
9.16 IPS |
|
|
Machine Translation (HP)
|
100% |
526
9.06 IPS |
|
|
Machine Translation (Q)
|
50% |
395
14.0 IPS |
