Motorola Moto Z
Geekbench AI Score
12
Single Precision Score
12
Half Precision Score
6
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 07 2024 07:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 820 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Motorola Moto Z |
| Model ID | motorola XT1650 |
| Motherboard | msm8996 |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 1 part 517 revision 2 |
| Base Frequency | 1.59 GHz |
| Cluster 1 | 2 Cores @ 1.59 GHz |
| Cluster 2 | 2 Cores @ 2.15 GHz |
| Memory Information | |
|---|---|
| Size | 2.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
1.05 KIPS |
|
|
Image Classification (HP)
|
0% |
0
1.04 KIPS |
|
|
Image Classification (Q)
|
0% |
0
1.08 KIPS |
|
|
Image Segmentation (SP)
|
73% |
9436
163.1 IPS |
|
|
Image Segmentation (HP)
|
73% |
9490
164.0 IPS |
|
|
Image Segmentation (Q)
|
73% |
17717
306.2 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
354.7 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
352.5 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
724.1 IPS |
|
|
Object Detection (SP)
|
0% |
0
528.6 IPS |
|
|
Object Detection (HP)
|
0% |
0
528.2 IPS |
|
|
Object Detection (Q)
|
0% |
0
398.4 IPS |
|
|
Face Detection (SP)
|
0% |
0
215.0 IPS |
|
|
Face Detection (HP)
|
0% |
0
215.3 IPS |
|
|
Face Detection (Q)
|
0% |
0
287.1 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
307.3 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
318.1 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
286.6 IPS |
|
|
Style Transfer (SP)
|
32% |
63271
793.6 IPS |
|
|
Style Transfer (HP)
|
32% |
63610
797.8 IPS |
|
|
Style Transfer (Q)
|
0% |
0
1.51 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
625.7 IPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
609.0 IPS |
|
|
Image Super-Resolution (Q)
|
2% |
69
818.6 IPS |
|
|
Text Classification (SP)
|
29% |
164
2.83 KIPS |
|
|
Text Classification (HP)
|
29% |
162
2.80 KIPS |
|
|
Text Classification (Q)
|
29% |
104
1.79 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
3.64 IPS |
|
|
Machine Translation (HP)
|
0% |
0
3.72 IPS |
|
|
Machine Translation (Q)
|
0% |
0
2.85 IPS |
