asus ASUSAI2501C
Geekbench AI Score
726
Single Precision Score
727
Half Precision Score
1696
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 03:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | asus ASUSAI2501C |
| Model ID | asus ASUSAI2501C |
| 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% |
450
83.7 IPS |
|
|
Image Classification (HP)
|
100% |
451
84.0 IPS |
|
|
Image Classification (Q)
|
99% |
1207
225.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
576
9.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
581
9.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
1167
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
765
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
743
0.87 IPS |
|
|
Pose Estimation (Q)
|
98% |
2956
3.46 IPS |
|
|
Object Detection (SP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (HP)
|
100% |
419
33.2 IPS |
|
|
Object Detection (Q)
|
87% |
1270
101.9 IPS |
|
|
Face Detection (SP)
|
100% |
1029
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1031
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
2545
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
900
6.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
901
6.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
2253
20.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1572
2.02 IPS |
|
|
Style Transfer (HP)
|
100% |
1570
2.02 IPS |
|
|
Style Transfer (Q)
|
98% |
4291
5.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
492
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
493
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1767
65.5 IPS |
|
|
Text Classification (SP)
|
100% |
664
886.4 IPS |
|
|
Text Classification (HP)
|
100% |
675
901.4 IPS |
|
|
Text Classification (Q)
|
91% |
1066
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (Q)
|
57% |
805
19.7 IPS |
