asus ASUSAI2501B
Geekbench AI Score
753
Single Precision Score
28272
Half Precision Score
63582
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 26 2025 07:55 PM |
| Views | 2 |
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 | 10.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
466
86.6 IPS |
|
|
Image Classification (HP)
|
100% |
21550
4.01 KIPS |
|
|
Image Classification (Q)
|
97% |
50359
9.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
600
9.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
14720
238.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
43572
708.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
762
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
124232
145.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
480533
562.4 IPS |
|
|
Object Detection (SP)
|
100% |
432
34.3 IPS |
|
|
Object Detection (HP)
|
100% |
20261
1.61 KIPS |
|
|
Object Detection (Q)
|
85% |
23753
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
1106
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
45140
536.4 IPS |
|
|
Face Detection (Q)
|
97% |
163126
1.95 KIPS |
|
|
Depth Estimation (SP)
|
100% |
949
7.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
85463
658.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
149918
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
1613
2.07 IPS |
|
|
Style Transfer (HP)
|
98% |
99292
128.0 IPS |
|
|
Style Transfer (Q)
|
98% |
496800
640.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
512
18.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55658
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135892
5.04 KIPS |
|
|
Text Classification (SP)
|
100% |
677
903.8 IPS |
|
|
Text Classification (HP)
|
100% |
3965
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
8212
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1094
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4834
83.3 IPS |
|
|
Machine Translation (Q)
|
56% |
3180
81.9 IPS |
