Motorola Razr 50 Ultra
Geekbench AI Score
1656
Single Precision Score
1590
Half Precision Score
2361
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 18 2025 01:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8s Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | 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% |
1434
266.7 IPS |
|
|
Image Classification (HP)
|
100% |
1487
276.5 IPS |
|
|
Image Classification (Q)
|
100% |
2414
449.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1685
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2405
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2822
3.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2433
2.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
5233
6.21 IPS |
|
|
Object Detection (SP)
|
98% |
1067
84.9 IPS |
|
|
Object Detection (HP)
|
98% |
1068
85.0 IPS |
|
|
Object Detection (Q)
|
83% |
1550
125.2 IPS |
|
|
Face Detection (SP)
|
100% |
2356
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
2346
27.9 IPS |
|
|
Face Detection (Q)
|
95% |
3641
43.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2702
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2378
18.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3522
32.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6007
7.80 IPS |
|
|
Style Transfer (HP)
|
89% |
5999
7.79 IPS |
|
|
Style Transfer (Q)
|
98% |
10426
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1140
42.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1154
42.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2507
92.9 IPS |
|
|
Text Classification (SP)
|
100% |
462
616.9 IPS |
|
|
Text Classification (HP)
|
99% |
453
604.8 IPS |
|
|
Text Classification (Q)
|
88% |
739
996.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (Q)
|
50% |
462
16.4 IPS |
