asus ASUSAI2501C
Geekbench AI Score
748
Single Precision Score
28213
Half Precision Score
63480
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | oldnick |
| Upload Date | January 20 2025 03:32 PM |
| Views | 22 |
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% |
459
85.4 IPS |
|
|
Image Classification (HP)
|
100% |
21541
4.01 KIPS |
|
|
Image Classification (Q)
|
97% |
50296
9.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
594
9.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
14718
238.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
43472
706.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
766
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
124018
144.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
480771
562.7 IPS |
|
|
Object Detection (SP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (HP)
|
100% |
19807
1.57 KIPS |
|
|
Object Detection (Q)
|
85% |
23241
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
1119
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
45381
539.2 IPS |
|
|
Face Detection (Q)
|
97% |
163723
1.95 KIPS |
|
|
Depth Estimation (SP)
|
100% |
961
7.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
85490
658.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
150066
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
1597
2.05 IPS |
|
|
Style Transfer (HP)
|
98% |
99417
128.2 IPS |
|
|
Style Transfer (Q)
|
98% |
496130
639.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
504
18.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55729
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
136061
5.04 KIPS |
|
|
Text Classification (SP)
|
100% |
658
878.7 IPS |
|
|
Text Classification (HP)
|
100% |
3961
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
8209
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1087
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4820
83.0 IPS |
|
|
Machine Translation (Q)
|
56% |
3195
82.3 IPS |
