asus ASUSAI2501C
Geekbench AI Score
2590
Single Precision Score
3161
Half Precision Score
5764
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 04:17 PM |
| Views | 3 |
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% |
296
55.0 IPS |
|
|
Image Classification (HP)
|
100% |
2273
422.7 IPS |
|
|
Image Classification (Q)
|
100% |
4832
898.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2681
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2715
44.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5938
96.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6288
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
6046
7.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
15248
18.1 IPS |
|
|
Object Detection (SP)
|
98% |
2029
161.5 IPS |
|
|
Object Detection (HP)
|
98% |
2043
162.6 IPS |
|
|
Object Detection (Q)
|
83% |
4506
364.0 IPS |
|
|
Face Detection (SP)
|
100% |
4818
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
4779
56.8 IPS |
|
|
Face Detection (Q)
|
95% |
11130
132.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
5166
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5028
38.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
12074
110.6 IPS |
|
|
Style Transfer (SP)
|
89% |
12535
16.3 IPS |
|
|
Style Transfer (HP)
|
89% |
12485
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28066
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2679
98.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2687
99.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7493
277.7 IPS |
|
|
Text Classification (SP)
|
100% |
1057
1.41 KIPS |
|
|
Text Classification (HP)
|
99% |
1073
1.43 KIPS |
|
|
Text Classification (Q)
|
88% |
1139
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1519
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1514
26.1 IPS |
|
|
Machine Translation (Q)
|
50% |
638
22.7 IPS |
