motorola motorola razr ultra 2025
Geekbench AI Score
1008
Single Precision Score
1836
Half Precision Score
1786
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | EnduroFever |
| Upload Date | June 22 2025 05:41 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola razr ultra 2025 |
| Model ID | motorola motorola razr ultra 2025 |
| Motherboard | leap |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.82 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
707
131.4 IPS |
|
|
Image Classification (HP)
|
100% |
1467
272.8 IPS |
|
|
Image Classification (Q)
|
99% |
1794
334.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2438
39.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2352
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1606
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2785
3.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
2360
2.77 IPS |
|
|
Object Detection (SP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (HP)
|
100% |
1194
94.7 IPS |
|
|
Object Detection (Q)
|
86% |
1193
95.9 IPS |
|
|
Face Detection (SP)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
4047
48.1 IPS |
|
|
Face Detection (Q)
|
97% |
3262
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1590
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4613
35.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
3812
35.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5820
7.48 IPS |
|
|
Style Transfer (HP)
|
100% |
12012
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
9319
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
434
16.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1606
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1891
70.1 IPS |
|
|
Text Classification (SP)
|
100% |
130
174.0 IPS |
|
|
Text Classification (HP)
|
100% |
166
221.7 IPS |
|
|
Text Classification (Q)
|
91% |
256
343.9 IPS |
|
|
Machine Translation (SP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (Q)
|
57% |
498
12.2 IPS |
