asus ASUSAI2501E
Geekbench ML Score
2294
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 08 2024 04:40 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | asus ASUSAI2501E |
| Model ID | asus ASUSAI2501E |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 22.51 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1404
262.6 IPS |
|
|
Image Classification (F16)
|
100% |
1352
253.0 IPS |
|
|
Image Classification (I8)
|
97% |
1863
348.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1825
30.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1825
30.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1939
32.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
2350
2.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
2287
2.77 IPS |
|
|
Pose Estimation (I8)
|
100% |
9666
11.7 IPS |
|
|
Object Detection (F32)
|
100% |
1332
99.5 IPS |
|
|
Object Detection (F16)
|
100% |
1329
99.2 IPS |
|
|
Object Detection (I8)
|
61% |
2374
177.2 IPS |
|
|
Face Detection (F32)
|
100% |
2783
33.1 IPS |
|
|
Face Detection (F16)
|
100% |
2717
32.3 IPS |
|
|
Face Detection (I8)
|
86% |
4616
54.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2521
19.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2499
19.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
4795
37.2 IPS |
|
|
Style Transfer (F32)
|
100% |
3755
4.94 IPS |
|
|
Style Transfer (F16)
|
100% |
3726
4.90 IPS |
|
|
Style Transfer (I8)
|
98% |
10622
14.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1484
53.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1512
54.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
4976
177.7 IPS |
|
|
Text Classification (F32)
|
100% |
1196
1.72 KIPS |
|
|
Text Classification (F16)
|
100% |
1175
1.69 KIPS |
|
|
Text Classification (I8)
|
92% |
878
1.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
2284
42.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2249
41.4 IPS |
|
|
Machine Translation (I8)
|
64% |
1189
21.9 IPS |
