asus ASUSAI2501C
Geekbench AI Score
2523
Single Precision Score
3026
Half Precision Score
5545
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 08:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | asus ASUSAI2501C |
| Model ID | asus ASUSAI2501C |
| 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 | 22.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
374
69.5 IPS |
|
|
Image Classification (HP)
|
100% |
2245
417.5 IPS |
|
|
Image Classification (Q)
|
100% |
4761
885.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2671
43.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2726
44.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5852
95.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5893
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
5703
6.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
14590
17.3 IPS |
|
|
Object Detection (SP)
|
98% |
1882
149.7 IPS |
|
|
Object Detection (HP)
|
98% |
1890
150.4 IPS |
|
|
Object Detection (Q)
|
83% |
4397
355.2 IPS |
|
|
Face Detection (SP)
|
100% |
4392
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
4605
54.7 IPS |
|
|
Face Detection (Q)
|
95% |
10763
128.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4834
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4665
36.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
11118
101.8 IPS |
|
|
Style Transfer (SP)
|
89% |
12008
15.6 IPS |
|
|
Style Transfer (HP)
|
89% |
11927
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26925
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2512
92.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2548
94.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7100
263.1 IPS |
|
|
Text Classification (SP)
|
100% |
1015
1.35 KIPS |
|
|
Text Classification (HP)
|
99% |
1021
1.36 KIPS |
|
|
Text Classification (Q)
|
88% |
1097
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1456
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1467
25.3 IPS |
|
|
Machine Translation (Q)
|
50% |
613
21.8 IPS |
