motorola motorola razr plus 2024
Geekbench AI Score
1652
Single Precision Score
2645
Half Precision Score
2116
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Michaelandroid |
| Upload Date | August 28 2025 03:54 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola razr plus 2024 |
| Model ID | motorola motorola razr plus 2024 |
| 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% |
1142
212.4 IPS |
|
|
Image Classification (HP)
|
100% |
1736
322.9 IPS |
|
|
Image Classification (Q)
|
100% |
1424
264.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2051
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3450
55.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3493
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7235
8.44 IPS |
|
|
Pose Estimation (HP)
|
99% |
13101
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
12751
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
854
67.8 IPS |
|
|
Object Detection (HP)
|
99% |
1411
111.9 IPS |
|
|
Object Detection (Q)
|
87% |
1194
95.9 IPS |
|
|
Face Detection (SP)
|
100% |
3768
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
5751
68.3 IPS |
|
|
Face Detection (Q)
|
97% |
5662
67.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3992
30.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
6497
50.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
5104
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9162
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19414
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19034
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1931
71.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3259
120.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3368
124.8 IPS |
|
|
Text Classification (SP)
|
35% |
41
401.6 IPS |
|
|
Text Classification (HP)
|
35% |
56
509.5 IPS |
|
|
Text Classification (Q)
|
33% |
46
549.9 IPS |
|
|
Machine Translation (SP)
|
100% |
964
16.6 IPS |
|
|
Machine Translation (HP)
|
97% |
1144
19.8 IPS |
|
|
Machine Translation (Q)
|
43% |
279
15.9 IPS |
