motorola motorola razr 50 ultra
Geekbench AI Score
1362
Single Precision Score
1251
Half Precision Score
2031
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 09:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola motorola razr 50 ultra |
| Model ID | motorola motorola razr 50 ultra |
| Motherboard | arcfox |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 11.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
779
144.9 IPS |
|
|
Image Classification (HP)
|
100% |
1062
197.6 IPS |
|
|
Image Classification (Q)
|
100% |
2001
372.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1840
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
614
9.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
3078
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3192
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3159
3.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
6953
8.25 IPS |
|
|
Object Detection (SP)
|
98% |
558
44.4 IPS |
|
|
Object Detection (HP)
|
98% |
1490
118.6 IPS |
|
|
Object Detection (Q)
|
83% |
2092
169.0 IPS |
|
|
Face Detection (SP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
1039
12.3 IPS |
|
|
Face Detection (Q)
|
95% |
2157
25.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2899
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1367
10.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2218
20.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7782
10.1 IPS |
|
|
Style Transfer (HP)
|
89% |
8328
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
14072
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
625
23.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
657
24.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1239
45.9 IPS |
|
|
Text Classification (SP)
|
100% |
297
396.9 IPS |
|
|
Text Classification (HP)
|
99% |
303
404.5 IPS |
|
|
Text Classification (Q)
|
88% |
473
638.3 IPS |
|
|
Machine Translation (SP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1307
22.5 IPS |
|
|
Machine Translation (Q)
|
50% |
339
12.0 IPS |
