asus ASUSAI2501E
Geekbench AI Score
2574
Single Precision Score
3098
Half Precision Score
5591
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 12:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
332
61.7 IPS |
|
|
Image Classification (HP)
|
100% |
2276
423.2 IPS |
|
|
Image Classification (Q)
|
100% |
4846
901.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2736
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2703
43.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5823
94.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5971
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
5746
6.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
14317
17.0 IPS |
|
|
Object Detection (SP)
|
98% |
1909
151.9 IPS |
|
|
Object Detection (HP)
|
98% |
1911
152.1 IPS |
|
|
Object Detection (Q)
|
83% |
4425
357.4 IPS |
|
|
Face Detection (SP)
|
100% |
4830
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
4752
56.5 IPS |
|
|
Face Detection (Q)
|
95% |
11076
132.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4962
38.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4962
38.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
11543
105.7 IPS |
|
|
Style Transfer (SP)
|
89% |
12504
16.2 IPS |
|
|
Style Transfer (HP)
|
89% |
12293
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26072
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2621
96.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2638
97.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7119
263.8 IPS |
|
|
Text Classification (SP)
|
100% |
1048
1.40 KIPS |
|
|
Text Classification (HP)
|
99% |
1051
1.40 KIPS |
|
|
Text Classification (Q)
|
88% |
1142
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1500
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1504
25.9 IPS |
|
|
Machine Translation (Q)
|
50% |
617
21.9 IPS |
