motorola moto g75 5G
Geekbench AI Score
891
Single Precision Score
887
Half Precision Score
1843
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | LazaruX512 |
| Upload Date | March 23 2025 07:03 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola moto g75 5G |
| Model ID | motorola moto g75 5G |
| Motherboard | paros |
| 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 | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
440
81.9 IPS |
|
|
Image Classification (HP)
|
100% |
446
83.0 IPS |
|
|
Image Classification (Q)
|
100% |
1358
252.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
527
8.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
520
8.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
1637
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2000
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2007
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
3731
4.42 IPS |
|
|
Object Detection (SP)
|
100% |
447
35.5 IPS |
|
|
Object Detection (HP)
|
100% |
448
35.6 IPS |
|
|
Object Detection (Q)
|
83% |
1330
107.4 IPS |
|
|
Face Detection (SP)
|
100% |
1094
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
1088
12.9 IPS |
|
|
Face Detection (Q)
|
95% |
3272
39.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1489
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1541
11.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3355
30.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3639
4.72 IPS |
|
|
Style Transfer (HP)
|
89% |
3433
4.46 IPS |
|
|
Style Transfer (Q)
|
98% |
7874
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
827
30.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
829
30.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1796
66.6 IPS |
|
|
Text Classification (SP)
|
100% |
458
611.2 IPS |
|
|
Text Classification (HP)
|
100% |
454
606.5 IPS |
|
|
Text Classification (Q)
|
88% |
716
965.2 IPS |
|
|
Machine Translation (SP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (Q)
|
50% |
369
13.1 IPS |
