motorola motorola razr plus 2024
Geekbench AI Score
1951
Single Precision Score
2017
Half Precision Score
3034
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Michaelandroid |
| Upload Date | August 28 2025 01:59 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1173
218.2 IPS |
|
|
Image Classification (HP)
|
100% |
1266
235.4 IPS |
|
|
Image Classification (Q)
|
100% |
1396
259.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1894
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1841
29.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3176
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3022
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3222
3.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
6856
8.13 IPS |
|
|
Object Detection (SP)
|
98% |
1279
101.8 IPS |
|
|
Object Detection (HP)
|
98% |
1584
126.0 IPS |
|
|
Object Detection (Q)
|
83% |
2570
207.6 IPS |
|
|
Face Detection (SP)
|
100% |
3149
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
3066
36.4 IPS |
|
|
Face Detection (Q)
|
95% |
5858
69.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3347
25.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3174
24.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4678
42.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7410
9.62 IPS |
|
|
Style Transfer (HP)
|
89% |
7041
9.14 IPS |
|
|
Style Transfer (Q)
|
98% |
12973
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1378
50.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1381
51.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3032
112.4 IPS |
|
|
Text Classification (SP)
|
100% |
607
809.5 IPS |
|
|
Text Classification (HP)
|
99% |
723
965.0 IPS |
|
|
Text Classification (Q)
|
88% |
1255
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1429
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1370
23.6 IPS |
|
|
Machine Translation (Q)
|
50% |
626
22.2 IPS |
