motorola motorola razr 60 ultra
Geekbench AI Score
2407
Single Precision Score
2239
Half Precision Score
3727
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 07 2026 08:14 AM |
| Views | 9 |
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% |
1561
290.3 IPS |
|
|
Image Classification (HP)
|
100% |
1329
247.1 IPS |
|
|
Image Classification (Q)
|
100% |
3197
594.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1884
30.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3542
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5654
6.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
5495
6.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
13174
15.6 IPS |
|
|
Object Detection (SP)
|
98% |
1332
106.0 IPS |
|
|
Object Detection (HP)
|
98% |
1269
101.0 IPS |
|
|
Object Detection (Q)
|
83% |
2989
241.5 IPS |
|
|
Face Detection (SP)
|
100% |
3658
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
3796
45.1 IPS |
|
|
Face Detection (Q)
|
95% |
6967
83.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4009
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4302
33.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
7720
70.7 IPS |
|
|
Style Transfer (SP)
|
89% |
12388
16.1 IPS |
|
|
Style Transfer (HP)
|
89% |
10057
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20846
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2011
74.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1726
63.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3983
147.6 IPS |
|
|
Text Classification (SP)
|
100% |
641
855.1 IPS |
|
|
Text Classification (HP)
|
99% |
510
680.3 IPS |
|
|
Text Classification (Q)
|
88% |
620
835.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1257
21.6 IPS |
|
|
Machine Translation (Q)
|
50% |
419
14.9 IPS |
