asus ASUSAI2501H
Geekbench AI Score
770
Single Precision Score
28259
Half Precision Score
63681
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 23 2025 04:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | asus ASUSAI2501H |
| Model ID | asus ASUSAI2501H |
| 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 | 14.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
472
87.7 IPS |
|
|
Image Classification (HP)
|
100% |
21531
4.00 KIPS |
|
|
Image Classification (Q)
|
97% |
50450
9.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
617
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14650
237.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
43588
708.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
797
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
124160
144.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
479592
561.3 IPS |
|
|
Object Detection (SP)
|
100% |
443
35.2 IPS |
|
|
Object Detection (HP)
|
100% |
20353
1.61 KIPS |
|
|
Object Detection (Q)
|
85% |
23921
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
1142
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
45288
538.1 IPS |
|
|
Face Detection (Q)
|
97% |
164320
1.96 KIPS |
|
|
Depth Estimation (SP)
|
100% |
976
7.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
85358
657.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
149859
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
1636
2.10 IPS |
|
|
Style Transfer (HP)
|
98% |
99210
127.9 IPS |
|
|
Style Transfer (Q)
|
98% |
496303
640.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
514
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55158
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135400
5.02 KIPS |
|
|
Text Classification (SP)
|
100% |
685
914.5 IPS |
|
|
Text Classification (HP)
|
100% |
3948
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
8226
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1119
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4879
84.0 IPS |
|
|
Machine Translation (Q)
|
56% |
3194
82.3 IPS |
