asus ASUSAI2501A
Geekbench AI Score
739
Single Precision Score
28412
Half Precision Score
63846
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | eric1932 |
| Upload Date | January 01 2025 03:35 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | asus ASUSAI2501A |
| Model ID | asus ASUSAI2501A |
| 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% |
458
85.1 IPS |
|
|
Image Classification (HP)
|
100% |
21581
4.01 KIPS |
|
|
Image Classification (Q)
|
97% |
50379
9.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
583
9.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
14859
240.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
43685
710.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
760
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
124419
145.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
481600
563.7 IPS |
|
|
Object Detection (SP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (HP)
|
100% |
20294
1.61 KIPS |
|
|
Object Detection (Q)
|
85% |
23930
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
1096
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
45538
541.1 IPS |
|
|
Face Detection (Q)
|
97% |
164252
1.96 KIPS |
|
|
Depth Estimation (SP)
|
100% |
931
7.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
85617
659.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
150315
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
1581
2.03 IPS |
|
|
Style Transfer (HP)
|
98% |
99482
128.3 IPS |
|
|
Style Transfer (Q)
|
98% |
498919
643.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
502
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55964
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
136794
5.07 KIPS |
|
|
Text Classification (SP)
|
100% |
652
870.8 IPS |
|
|
Text Classification (HP)
|
100% |
3970
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
8215
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1079
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4913
84.6 IPS |
|
|
Machine Translation (Q)
|
56% |
3206
82.6 IPS |
