asus Zenfone 5Z
Geekbench AI Score
15
Single Precision Score
15
Half Precision Score
8
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 07:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | asus Zenfone 5Z |
| Model ID | asus Zenfone 5Z |
| Motherboard | sdm845 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 6 part 2050 revision 13 |
| Base Frequency | 1.77 GHz |
| Cluster 1 | 4 Cores @ 1.77 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
2.48 KIPS |
|
|
Image Classification (HP)
|
0% |
0
2.23 KIPS |
|
|
Image Classification (Q)
|
0% |
0
3.50 KIPS |
|
|
Image Segmentation (SP)
|
73% |
15387
265.9 IPS |
|
|
Image Segmentation (HP)
|
73% |
15826
273.5 IPS |
|
|
Image Segmentation (Q)
|
73% |
37509
648.2 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
815.8 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
847.6 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
1.87 KIPS |
|
|
Object Detection (SP)
|
0% |
0
1.05 KIPS |
|
|
Object Detection (HP)
|
0% |
0
1.09 KIPS |
|
|
Object Detection (Q)
|
0% |
0
877.8 IPS |
|
|
Face Detection (SP)
|
0% |
0
348.5 IPS |
|
|
Face Detection (HP)
|
0% |
0
345.2 IPS |
|
|
Face Detection (Q)
|
0% |
0
545.3 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
810.8 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
762.6 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
751.2 IPS |
|
|
Style Transfer (SP)
|
32% |
130713
1.64 KIPS |
|
|
Style Transfer (HP)
|
32% |
129546
1.62 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
3.20 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.66 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
243
2.87 KIPS |
|
|
Text Classification (SP)
|
29% |
370
6.38 KIPS |
|
|
Text Classification (HP)
|
29% |
398
6.88 KIPS |
|
|
Text Classification (Q)
|
29% |
333
5.74 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
7.22 IPS |
|
|
Machine Translation (HP)
|
0% |
0
6.78 IPS |
|
|
Machine Translation (Q)
|
0% |
0
5.70 IPS |
