motorola moto g75 5G
Geekbench AI Score
250
Single Precision Score
329
Half Precision Score
334
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | LazaruX512 |
| Upload Date | March 23 2025 07:21 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
165
30.8 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (Q)
|
97% |
229
42.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
268
4.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
320
5.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
318
5.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
206
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
311
0.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
312
0.37 IPS |
|
|
Object Detection (SP)
|
100% |
132
10.5 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (Q)
|
89% |
165
13.2 IPS |
|
|
Face Detection (SP)
|
100% |
466
5.54 IPS |
|
|
Face Detection (HP)
|
100% |
626
7.44 IPS |
|
|
Face Detection (Q)
|
97% |
579
6.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
325
2.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
517
3.99 IPS |
|
|
Depth Estimation (Q)
|
63% |
423
3.97 IPS |
|
|
Style Transfer (SP)
|
100% |
764
0.98 IPS |
|
|
Style Transfer (HP)
|
100% |
1377
1.77 IPS |
|
|
Style Transfer (Q)
|
98% |
1403
1.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
129
4.76 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
155
5.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
153
5.67 IPS |
|
|
Text Classification (SP)
|
100% |
179
239.2 IPS |
|
|
Text Classification (HP)
|
100% |
180
240.5 IPS |
|
|
Text Classification (Q)
|
91% |
343
460.7 IPS |
|
|
Machine Translation (SP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (HP)
|
100% |
298
5.14 IPS |
|
|
Machine Translation (Q)
|
57% |
260
6.36 IPS |
