motorola motorola razr 2024
Geekbench AI Score
277
Single Precision Score
321
Half Precision Score
349
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 11:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola motorola razr 2024 |
| Model ID | motorola motorola razr 2024 |
| Motherboard | aito |
| 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 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
219
40.7 IPS |
|
|
Image Classification (HP)
|
100% |
284
52.8 IPS |
|
|
Image Classification (Q)
|
99% |
274
51.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
373
6.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
429
6.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
428
6.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
190
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
253
0.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
252
0.30 IPS |
|
|
Object Detection (SP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (HP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (Q)
|
83% |
214
17.4 IPS |
|
|
Face Detection (SP)
|
100% |
686
8.15 IPS |
|
|
Face Detection (HP)
|
100% |
751
8.92 IPS |
|
|
Face Detection (Q)
|
97% |
713
8.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
379
2.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
477
3.67 IPS |
|
|
Depth Estimation (Q)
|
62% |
383
3.63 IPS |
|
|
Style Transfer (SP)
|
100% |
998
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
1185
1.52 IPS |
|
|
Style Transfer (Q)
|
98% |
1178
1.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
198
7.31 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
223
8.23 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
219
8.12 IPS |
|
|
Text Classification (SP)
|
100% |
111
147.7 IPS |
|
|
Text Classification (HP)
|
100% |
113
150.7 IPS |
|
|
Text Classification (Q)
|
91% |
282
378.8 IPS |
|
|
Machine Translation (SP)
|
100% |
206
3.55 IPS |
|
|
Machine Translation (HP)
|
100% |
181
3.11 IPS |
|
|
Machine Translation (Q)
|
57% |
214
5.24 IPS |
