asus ASUSAI2501C
Geekbench AI Score
750
Single Precision Score
749
Half Precision Score
1742
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 10 2024 11:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
453
84.3 IPS |
|
|
Image Classification (HP)
|
100% |
458
85.2 IPS |
|
|
Image Classification (Q)
|
99% |
1205
224.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
594
9.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
595
9.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
1182
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
791
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
770
0.90 IPS |
|
|
Pose Estimation (Q)
|
98% |
3067
3.59 IPS |
|
|
Object Detection (SP)
|
100% |
431
34.2 IPS |
|
|
Object Detection (HP)
|
100% |
434
34.4 IPS |
|
|
Object Detection (Q)
|
87% |
1306
104.8 IPS |
|
|
Face Detection (SP)
|
100% |
1072
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
1076
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
2651
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
949
7.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
948
7.30 IPS |
|
|
Depth Estimation (Q)
|
64% |
2309
21.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1605
2.06 IPS |
|
|
Style Transfer (HP)
|
100% |
1600
2.06 IPS |
|
|
Style Transfer (Q)
|
98% |
4438
5.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
507
18.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
509
18.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1851
68.6 IPS |
|
|
Text Classification (SP)
|
100% |
691
921.8 IPS |
|
|
Text Classification (HP)
|
100% |
688
918.1 IPS |
|
|
Text Classification (Q)
|
91% |
1091
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1079
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (Q)
|
57% |
825
20.2 IPS |
