asus ASUS_I007D
Geekbench ML Score
982
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 19 2022 07:17 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | asus ASUS_I007D |
| Model ID | asus ASUS_I007D |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Venus |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 14.84 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
975
104.5 IPS |
|
|
Image Classification (F16)
|
100% |
1685
180.6 IPS |
|
|
Image Classification (I8)
|
79% |
5001
535.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2447
15.1 IPS |
|
|
Image Segmentation (F16)
|
71% |
3585
22.1 IPS |
|
|
Image Segmentation (I8)
|
68% |
3600
22.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
568
2.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
2006
8.12 IPS |
|
|
Pose Estimation (I8)
|
53% |
19081
77.2 IPS |
|
|
Object Detection (F32)
|
100% |
898
31.5 IPS |
|
|
Object Detection (F16)
|
100% |
1248
43.8 IPS |
|
|
Object Detection (I8)
|
52% |
474
16.6 IPS |
|
|
Face Detection (F32)
|
100% |
527
6.05 IPS |
|
|
Face Detection (F16)
|
100% |
655
7.53 IPS |
|
|
Face Detection (I8)
|
75% |
8315
95.5 IPS |
|
|
Text Classification (F32)
|
100% |
12
4.66 IPS |
|
|
Text Classification (F16)
|
46% |
12
4.64 IPS |
|
|
Machine Translation (F32)
|
100% |
759
116.9 IPS |
|
|
Machine Translation (F16)
|
100% |
763
117.7 IPS |
