motorola motorola razr 60 ultra
Geekbench AI Score
1149
Single Precision Score
1142
Half Precision Score
1917
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 23 2025 01:44 PM |
| Views | 1 |
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% |
375
69.8 IPS |
|
|
Image Classification (HP)
|
100% |
361
67.1 IPS |
|
|
Image Classification (Q)
|
100% |
1355
251.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
994
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
969
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1793
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2372
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2336
2.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
5743
6.81 IPS |
|
|
Object Detection (SP)
|
98% |
752
59.9 IPS |
|
|
Object Detection (HP)
|
98% |
758
60.3 IPS |
|
|
Object Detection (Q)
|
83% |
1623
131.1 IPS |
|
|
Face Detection (SP)
|
100% |
2212
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
2221
26.4 IPS |
|
|
Face Detection (Q)
|
95% |
3856
46.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2092
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2077
16.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4232
38.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5240
6.80 IPS |
|
|
Style Transfer (HP)
|
89% |
5253
6.82 IPS |
|
|
Style Transfer (Q)
|
98% |
10258
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1057
39.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1052
38.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2250
83.4 IPS |
|
|
Text Classification (SP)
|
100% |
327
436.9 IPS |
|
|
Text Classification (HP)
|
99% |
332
443.1 IPS |
|
|
Text Classification (Q)
|
88% |
281
378.7 IPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (Q)
|
50% |
280
9.94 IPS |
