motorola motorola edge 50 fusion
Geekbench AI Score
746
Single Precision Score
733
Half Precision Score
1410
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 01:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola edge 50 fusion |
| Model ID | motorola motorola edge 50 fusion |
| Motherboard | cuscoi |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
459
85.4 IPS |
|
|
Image Classification (HP)
|
100% |
422
78.4 IPS |
|
|
Image Classification (Q)
|
100% |
1455
270.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
530
8.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
529
8.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
1679
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2049
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1958
2.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
3475
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
431
34.2 IPS |
|
|
Object Detection (HP)
|
100% |
430
34.1 IPS |
|
|
Object Detection (Q)
|
83% |
1287
104.0 IPS |
|
|
Face Detection (SP)
|
100% |
1102
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1109
13.2 IPS |
|
|
Face Detection (Q)
|
95% |
3178
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1548
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1527
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3161
29.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3488
4.53 IPS |
|
|
Style Transfer (HP)
|
89% |
3497
4.54 IPS |
|
|
Style Transfer (Q)
|
98% |
7978
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
865
31.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
865
31.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
681
25.2 IPS |
|
|
Text Classification (SP)
|
100% |
172
229.4 IPS |
|
|
Text Classification (HP)
|
100% |
169
226.1 IPS |
|
|
Text Classification (Q)
|
88% |
285
384.4 IPS |
|
|
Machine Translation (SP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (HP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (Q)
|
50% |
184
6.53 IPS |
