asus ASUSAI2501C
Geekbench AI Score
760
Single Precision Score
761
Half Precision Score
1766
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 06:46 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% |
457
85.0 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.4 IPS |
|
|
Image Classification (Q)
|
99% |
1213
226.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
591
9.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
594
9.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
1185
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
790
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
773
0.90 IPS |
|
|
Pose Estimation (Q)
|
98% |
3068
3.59 IPS |
|
|
Object Detection (SP)
|
100% |
433
34.3 IPS |
|
|
Object Detection (HP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (Q)
|
87% |
1315
105.5 IPS |
|
|
Face Detection (SP)
|
100% |
1094
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
1104
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
2698
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
966
7.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
966
7.44 IPS |
|
|
Depth Estimation (Q)
|
64% |
2384
21.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1643
2.11 IPS |
|
|
Style Transfer (HP)
|
100% |
1637
2.10 IPS |
|
|
Style Transfer (Q)
|
98% |
4561
5.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
519
19.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
522
19.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1860
68.9 IPS |
|
|
Text Classification (SP)
|
100% |
698
931.0 IPS |
|
|
Text Classification (HP)
|
100% |
704
939.2 IPS |
|
|
Text Classification (Q)
|
91% |
1095
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1112
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1109
19.1 IPS |
|
|
Machine Translation (Q)
|
57% |
856
20.9 IPS |
