Asus Zenfone Max Pro (M1)
Geekbench ML Score
118
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 13 2021 07:04 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 9 |
| Model | Asus Zenfone Max Pro (M1) |
| Model ID | asus ASUS_X00TD |
| Motherboard | sdm660 |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 4 Cores @ 1.61 GHz |
| Cluster 2 | 4 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
71
7.56 IPS |
|
|
Image Classification (F16)
|
100% |
72
7.74 IPS |
|
|
Image Classification (I8)
|
81% |
123
13.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
164
1.02 IPS |
|
|
Image Segmentation (F16)
|
100% |
160
0.99 IPS |
|
|
Image Segmentation (I8)
|
89% |
377
2.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
77
0.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
65
0.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
104
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
108
3.80 IPS |
|
|
Object Detection (F16)
|
100% |
111
3.89 IPS |
|
|
Object Detection (I8)
|
52% |
164
5.77 IPS |
|
|
Face Detection (F32)
|
100% |
160
1.84 IPS |
|
|
Face Detection (F16)
|
100% |
163
1.87 IPS |
|
|
Face Detection (I8)
|
75% |
247
2.84 IPS |
|
|
Text Classification (F32)
|
100% |
101
39.9 IPS |
|
|
Text Classification (F16)
|
100% |
100
39.7 IPS |
|
|
Machine Translation (F32)
|
100% |
75
11.6 IPS |
|
|
Machine Translation (F16)
|
100% |
75
11.5 IPS |
