motorola motorola razr 60 ultra
Geekbench AI Score
668
Single Precision Score
9021
Half Precision Score
23807
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 10 2025 06:26 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
448
83.3 IPS |
|
|
Image Classification (HP)
|
100% |
6479
1.20 KIPS |
|
|
Image Classification (Q)
|
97% |
22708
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
558
9.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
6859
111.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
21025
341.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
709
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
25303
29.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
105476
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (HP)
|
100% |
6002
476.0 IPS |
|
|
Object Detection (Q)
|
85% |
9105
732.8 IPS |
|
|
Face Detection (SP)
|
100% |
1038
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
13528
160.7 IPS |
|
|
Face Detection (Q)
|
97% |
59930
714.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
817
6.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
24689
190.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
53148
491.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1482
1.90 IPS |
|
|
Style Transfer (HP)
|
98% |
33827
43.6 IPS |
|
|
Style Transfer (Q)
|
98% |
159656
205.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
283
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14805
546.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
42429
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
661
882.8 IPS |
|
|
Text Classification (HP)
|
100% |
1459
1.95 KIPS |
|
|
Text Classification (Q)
|
93% |
4170
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1051
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2168
37.4 IPS |
|
|
Machine Translation (Q)
|
56% |
1418
36.5 IPS |
