asus ASUSAI2501C
Geekbench AI Score
2906
Single Precision Score
3023
Half Precision Score
5458
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 05:40 AM |
| Views | 4 |
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% |
1473
274.0 IPS |
|
|
Image Classification (HP)
|
100% |
2279
423.8 IPS |
|
|
Image Classification (Q)
|
100% |
4584
852.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2709
43.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2728
44.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5933
96.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5671
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
5531
6.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
14107
16.7 IPS |
|
|
Object Detection (SP)
|
98% |
1840
146.4 IPS |
|
|
Object Detection (HP)
|
98% |
1831
145.7 IPS |
|
|
Object Detection (Q)
|
83% |
4220
340.9 IPS |
|
|
Face Detection (SP)
|
100% |
4609
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
4663
55.4 IPS |
|
|
Face Detection (Q)
|
95% |
10412
124.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4806
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4769
36.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
10890
99.7 IPS |
|
|
Style Transfer (SP)
|
89% |
12029
15.6 IPS |
|
|
Style Transfer (HP)
|
89% |
11666
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
26571
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2573
95.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2540
93.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6940
257.2 IPS |
|
|
Text Classification (SP)
|
100% |
1006
1.34 KIPS |
|
|
Text Classification (HP)
|
99% |
1038
1.39 KIPS |
|
|
Text Classification (Q)
|
88% |
1126
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1497
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1483
25.6 IPS |
|
|
Machine Translation (Q)
|
50% |
616
21.9 IPS |
