asus ASUSAI2501B
Geekbench AI Score
742
Single Precision Score
28250
Half Precision Score
63508
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 20 2025 08:46 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | asus ASUSAI2501B |
| Model ID | asus ASUSAI2501B |
| 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% |
464
86.3 IPS |
|
|
Image Classification (HP)
|
100% |
21530
4.00 KIPS |
|
|
Image Classification (Q)
|
97% |
50369
9.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
593
9.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
14662
237.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
43242
703.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
762
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
123661
144.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
479911
561.7 IPS |
|
|
Object Detection (SP)
|
100% |
424
33.7 IPS |
|
|
Object Detection (HP)
|
100% |
20224
1.60 KIPS |
|
|
Object Detection (Q)
|
85% |
23738
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
1086
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
45035
535.1 IPS |
|
|
Face Detection (Q)
|
97% |
161822
1.93 KIPS |
|
|
Depth Estimation (SP)
|
100% |
936
7.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
85494
658.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
149856
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
1586
2.04 IPS |
|
|
Style Transfer (HP)
|
98% |
99323
128.1 IPS |
|
|
Style Transfer (Q)
|
98% |
496533
640.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
498
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55785
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
136079
5.04 KIPS |
|
|
Text Classification (SP)
|
100% |
662
883.0 IPS |
|
|
Text Classification (HP)
|
100% |
3963
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
8228
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1078
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4851
83.6 IPS |
|
|
Machine Translation (Q)
|
56% |
3191
82.2 IPS |
