motorola motorola razr ultra 2025
Geekbench AI Score
1691
Single Precision Score
1697
Half Precision Score
2891
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | EnduroFever |
| Upload Date | June 22 2025 04:52 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1001
186.1 IPS |
|
|
Image Classification (HP)
|
100% |
1891
351.7 IPS |
|
|
Image Classification (Q)
|
100% |
4358
810.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2423
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2184
35.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5049
82.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4554
5.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2980
3.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
7573
8.98 IPS |
|
|
Object Detection (SP)
|
98% |
955
76.0 IPS |
|
|
Object Detection (HP)
|
98% |
936
74.5 IPS |
|
|
Object Detection (Q)
|
83% |
2012
162.5 IPS |
|
|
Face Detection (SP)
|
100% |
2776
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
2786
33.1 IPS |
|
|
Face Detection (Q)
|
95% |
4983
59.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2539
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2520
19.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5397
49.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6553
8.51 IPS |
|
|
Style Transfer (HP)
|
89% |
6443
8.36 IPS |
|
|
Style Transfer (Q)
|
98% |
13107
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1325
48.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1307
48.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2721
100.8 IPS |
|
|
Text Classification (SP)
|
100% |
334
445.8 IPS |
|
|
Text Classification (HP)
|
99% |
330
439.9 IPS |
|
|
Text Classification (Q)
|
88% |
372
501.4 IPS |
|
|
Machine Translation (SP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (Q)
|
50% |
342
12.2 IPS |
