asus ASUSAI2501C
Geekbench AI Score
702
Single Precision Score
28190
Half Precision Score
63602
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | oldnick |
| Upload Date | January 08 2025 02:39 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
425
79.0 IPS |
|
|
Image Classification (HP)
|
100% |
21529
4.00 KIPS |
|
|
Image Classification (Q)
|
97% |
50170
9.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
547
8.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
14716
238.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
43619
709.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
710
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
121328
141.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
479892
561.7 IPS |
|
|
Object Detection (SP)
|
100% |
403
31.9 IPS |
|
|
Object Detection (HP)
|
100% |
20280
1.61 KIPS |
|
|
Object Detection (Q)
|
85% |
23829
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
1037
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
45279
538.0 IPS |
|
|
Face Detection (Q)
|
97% |
162071
1.93 KIPS |
|
|
Depth Estimation (SP)
|
100% |
890
6.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
85409
658.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
149677
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
1534
1.97 IPS |
|
|
Style Transfer (HP)
|
98% |
99328
128.1 IPS |
|
|
Style Transfer (Q)
|
98% |
497303
641.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
478
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55701
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
136041
5.04 KIPS |
|
|
Text Classification (SP)
|
100% |
629
840.0 IPS |
|
|
Text Classification (HP)
|
100% |
3963
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
8207
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4796
82.6 IPS |
|
|
Machine Translation (Q)
|
56% |
3214
82.8 IPS |
