motorola motorola razr plus 2024
Geekbench AI Score
1658
Single Precision Score
2543
Half Precision Score
2114
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | KIP603 |
| Upload Date | January 04 2026 05:12 AM |
| Views | 7 |
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% |
1178
219.0 IPS |
|
|
Image Classification (HP)
|
100% |
1732
322.1 IPS |
|
|
Image Classification (Q)
|
100% |
1406
261.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3364
54.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3010
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7173
8.37 IPS |
|
|
Pose Estimation (HP)
|
99% |
12897
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12737
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
811
64.3 IPS |
|
|
Object Detection (HP)
|
99% |
1300
103.1 IPS |
|
|
Object Detection (Q)
|
87% |
1376
110.5 IPS |
|
|
Face Detection (SP)
|
100% |
3705
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
6612
78.6 IPS |
|
|
Face Detection (Q)
|
97% |
5669
67.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3926
30.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
6546
50.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
4958
48.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9166
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
17980
23.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17974
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2095
77.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2976
109.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2890
107.1 IPS |
|
|
Text Classification (SP)
|
35% |
41
401.3 IPS |
|
|
Text Classification (HP)
|
35% |
62
565.8 IPS |
|
|
Text Classification (Q)
|
33% |
53
631.4 IPS |
|
|
Machine Translation (SP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (HP)
|
97% |
807
14.0 IPS |
|
|
Machine Translation (Q)
|
43% |
311
17.7 IPS |
