Asus Zenfone Max Pro (M1)
Geekbench ML Score
202
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 14 2023 10:19 AM |
| Views | 1 |
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 | 2.68 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
112
12.0 IPS |
|
|
Image Classification (F16)
|
100% |
243
26.0 IPS |
|
|
Image Classification (I8)
|
80% |
261
28.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
234
1.45 IPS |
|
|
Image Segmentation (F16)
|
100% |
513
3.17 IPS |
|
|
Image Segmentation (I8)
|
89% |
588
3.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
107
0.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
246
0.99 IPS |
|
|
Pose Estimation (I8)
|
80% |
243
0.98 IPS |
|
|
Object Detection (F32)
|
100% |
96
3.36 IPS |
|
|
Object Detection (F16)
|
99% |
151
5.29 IPS |
|
|
Object Detection (I8)
|
53% |
160
5.63 IPS |
|
|
Face Detection (F32)
|
100% |
240
2.76 IPS |
|
|
Face Detection (F16)
|
97% |
496
5.70 IPS |
|
|
Face Detection (I8)
|
75% |
461
5.30 IPS |
|
|
Text Classification (F32)
|
100% |
128
50.6 IPS |
|
|
Text Classification (F16)
|
98% |
212
84.0 IPS |
|
|
Machine Translation (F32)
|
100% |
79
12.1 IPS |
|
|
Machine Translation (F16)
|
100% |
78
12.0 IPS |
