motorola motorola razr 60 ultra
Geekbench AI Score
216
Single Precision Score
7451
Half Precision Score
17735
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 10 2025 05:39 PM |
| Views | 4 |
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% |
357
66.5 IPS |
|
|
Image Classification (HP)
|
100% |
6153
1.14 KIPS |
|
|
Image Classification (Q)
|
97% |
15064
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
115
1.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
4037
65.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
12179
198.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
203
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
25017
29.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
104156
121.9 IPS |
|
|
Object Detection (SP)
|
100% |
111
8.77 IPS |
|
|
Object Detection (HP)
|
100% |
5264
417.5 IPS |
|
|
Object Detection (Q)
|
85% |
6530
525.5 IPS |
|
|
Face Detection (SP)
|
100% |
302
3.58 IPS |
|
|
Face Detection (HP)
|
100% |
11201
133.1 IPS |
|
|
Face Detection (Q)
|
97% |
41650
496.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
260
2.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
22321
172.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
43861
406.0 IPS |
|
|
Style Transfer (SP)
|
100% |
490
0.63 IPS |
|
|
Style Transfer (HP)
|
98% |
25704
33.1 IPS |
|
|
Style Transfer (Q)
|
98% |
128933
166.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
127
4.70 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13548
500.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
36354
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
164
218.5 IPS |
|
|
Text Classification (HP)
|
100% |
1184
1.58 KIPS |
|
|
Text Classification (Q)
|
93% |
3014
4.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
301
5.19 IPS |
|
|
Machine Translation (HP)
|
100% |
1566
27.0 IPS |
|
|
Machine Translation (Q)
|
56% |
956
24.6 IPS |
