asus ASUSAI2501H
Geekbench AI Score
715
Single Precision Score
28196
Half Precision Score
63838
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 22 2025 12:38 PM |
| Views | 10 |
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% |
433
80.5 IPS |
|
|
Image Classification (HP)
|
100% |
21510
4.00 KIPS |
|
|
Image Classification (Q)
|
97% |
50255
9.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
568
9.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
14734
238.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
43812
712.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
739
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
122446
142.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
479477
561.2 IPS |
|
|
Object Detection (SP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (HP)
|
100% |
20332
1.61 KIPS |
|
|
Object Detection (Q)
|
85% |
23863
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
1057
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
45043
535.2 IPS |
|
|
Face Detection (Q)
|
97% |
161735
1.93 KIPS |
|
|
Depth Estimation (SP)
|
100% |
923
7.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
85188
656.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
149634
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
1545
1.99 IPS |
|
|
Style Transfer (HP)
|
98% |
99249
128.0 IPS |
|
|
Style Transfer (Q)
|
98% |
495487
638.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
480
17.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55244
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135719
5.03 KIPS |
|
|
Text Classification (SP)
|
100% |
622
830.3 IPS |
|
|
Text Classification (HP)
|
100% |
3953
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
8209
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4841
83.4 IPS |
|
|
Machine Translation (Q)
|
56% |
3340
86.1 IPS |
