motorola motorola razr 60 ultra
Geekbench AI Score
1907
Single Precision Score
1784
Half Precision Score
2811
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 24 2025 11:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola razr 60 ultra |
| Model ID | motorola motorola razr 60 ultra |
| 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% |
2366
440.0 IPS |
|
|
Image Classification (HP)
|
100% |
2093
389.2 IPS |
|
|
Image Classification (Q)
|
100% |
2399
446.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1894
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5295
86.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4890
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3032
3.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
7652
9.08 IPS |
|
|
Object Detection (SP)
|
98% |
967
77.0 IPS |
|
|
Object Detection (HP)
|
98% |
969
77.1 IPS |
|
|
Object Detection (Q)
|
83% |
2051
165.7 IPS |
|
|
Face Detection (SP)
|
100% |
2816
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
2778
33.0 IPS |
|
|
Face Detection (Q)
|
95% |
5022
60.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2613
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2623
20.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5664
51.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6588
8.55 IPS |
|
|
Style Transfer (HP)
|
89% |
6617
8.59 IPS |
|
|
Style Transfer (Q)
|
98% |
12899
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1347
49.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1358
50.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3039
112.6 IPS |
|
|
Text Classification (SP)
|
100% |
508
678.5 IPS |
|
|
Text Classification (HP)
|
99% |
404
539.6 IPS |
|
|
Text Classification (Q)
|
88% |
403
542.9 IPS |
|
|
Machine Translation (SP)
|
100% |
905
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
890
15.3 IPS |
|
|
Machine Translation (Q)
|
50% |
344
12.2 IPS |
