motorola motorola razr 40 ultra
Geekbench AI Score
1048
Single Precision Score
1026
Half Precision Score
2252
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 29 2025 08:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola razr 40 ultra |
| Model ID | motorola motorola razr 40 ultra |
| Motherboard | zeekr |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
626
116.4 IPS |
|
|
Image Classification (HP)
|
100% |
493
91.7 IPS |
|
|
Image Classification (Q)
|
100% |
1906
354.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
813
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2661
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2682
3.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
2544
2.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
4421
5.24 IPS |
|
|
Object Detection (SP)
|
100% |
396
31.5 IPS |
|
|
Object Detection (HP)
|
100% |
396
31.4 IPS |
|
|
Object Detection (Q)
|
83% |
1477
119.3 IPS |
|
|
Face Detection (SP)
|
100% |
1415
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
1446
17.2 IPS |
|
|
Face Detection (Q)
|
95% |
3196
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1939
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1941
15.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3495
32.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3312
4.30 IPS |
|
|
Style Transfer (HP)
|
89% |
3326
4.32 IPS |
|
|
Style Transfer (Q)
|
98% |
9235
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1062
39.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1053
38.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2289
84.8 IPS |
|
|
Text Classification (SP)
|
100% |
426
568.2 IPS |
|
|
Text Classification (HP)
|
100% |
446
595.2 IPS |
|
|
Text Classification (Q)
|
88% |
832
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
741
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (Q)
|
50% |
517
18.4 IPS |
