motorola motorola razr 50 ultra
Geekbench AI Score
688
Single Precision Score
1006
Half Precision Score
981
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 15 2024 03:48 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola 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% |
550
102.3 IPS |
|
|
Image Classification (HP)
|
100% |
634
117.9 IPS |
|
|
Image Classification (Q)
|
99% |
443
82.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
795
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1108
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
975
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
785
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1235
1.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
1221
1.43 IPS |
|
|
Object Detection (SP)
|
100% |
400
31.7 IPS |
|
|
Object Detection (HP)
|
100% |
598
47.5 IPS |
|
|
Object Detection (Q)
|
89% |
618
49.5 IPS |
|
|
Face Detection (SP)
|
100% |
1436
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
1713
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
1559
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1078
8.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
1763
13.6 IPS |
|
|
Depth Estimation (Q)
|
74% |
1662
13.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3377
4.34 IPS |
|
|
Style Transfer (HP)
|
100% |
5533
7.11 IPS |
|
|
Style Transfer (Q)
|
98% |
5412
6.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
402
14.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
650
24.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
630
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
166
222.1 IPS |
|
|
Text Classification (HP)
|
100% |
355
473.9 IPS |
|
|
Text Classification (Q)
|
91% |
624
838.4 IPS |
|
|
Machine Translation (SP)
|
100% |
502
8.64 IPS |
|
|
Machine Translation (HP)
|
100% |
534
9.19 IPS |
|
|
Machine Translation (Q)
|
57% |
463
11.3 IPS |
