asus ASUSAI2501H
Geekbench AI Score
716
Single Precision Score
28063
Half Precision Score
63411
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 22 2025 07:18 AM |
| Views | 3 |
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% |
441
82.0 IPS |
|
|
Image Classification (HP)
|
100% |
21488
4.00 KIPS |
|
|
Image Classification (Q)
|
97% |
50291
9.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
561
9.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
14665
237.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
43603
709.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
729
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
120789
140.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
478162
559.7 IPS |
|
|
Object Detection (SP)
|
100% |
410
32.6 IPS |
|
|
Object Detection (HP)
|
100% |
20192
1.60 KIPS |
|
|
Object Detection (Q)
|
85% |
23779
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
1061
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
44891
533.4 IPS |
|
|
Face Detection (Q)
|
97% |
161379
1.92 KIPS |
|
|
Depth Estimation (SP)
|
100% |
921
7.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
85083
655.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
149434
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
1552
1.99 IPS |
|
|
Style Transfer (HP)
|
98% |
99141
127.8 IPS |
|
|
Style Transfer (Q)
|
98% |
495395
638.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54807
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134611
4.99 KIPS |
|
|
Text Classification (SP)
|
100% |
625
833.8 IPS |
|
|
Text Classification (HP)
|
100% |
3939
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
8208
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4822
83.1 IPS |
|
|
Machine Translation (Q)
|
56% |
3194
82.3 IPS |
