asus ASUSAI2501H
Geekbench AI Score
741
Single Precision Score
28280
Half Precision Score
63716
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 29 2025 07:13 PM |
| Views | 4 |
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% |
467
86.9 IPS |
|
|
Image Classification (HP)
|
100% |
21538
4.01 KIPS |
|
|
Image Classification (Q)
|
97% |
50376
9.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
601
9.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
14811
240.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
43743
711.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
765
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
124064
144.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
479491
561.2 IPS |
|
|
Object Detection (SP)
|
100% |
423
33.5 IPS |
|
|
Object Detection (HP)
|
100% |
20323
1.61 KIPS |
|
|
Object Detection (Q)
|
85% |
23906
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
1094
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
45450
540.0 IPS |
|
|
Face Detection (Q)
|
97% |
164419
1.96 KIPS |
|
|
Depth Estimation (SP)
|
100% |
948
7.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
85260
656.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
149661
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
1576
2.03 IPS |
|
|
Style Transfer (HP)
|
98% |
99346
128.1 IPS |
|
|
Style Transfer (Q)
|
98% |
496310
640.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55201
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135354
5.02 KIPS |
|
|
Text Classification (SP)
|
100% |
646
862.3 IPS |
|
|
Text Classification (HP)
|
100% |
3947
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
8236
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
1059
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4850
83.5 IPS |
|
|
Machine Translation (Q)
|
56% |
3207
82.6 IPS |
