asus ASUSAI2501C
Geekbench AI Score
1289
Single Precision Score
2502
Half Precision Score
2458
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 08:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
755
140.3 IPS |
|
|
Image Classification (HP)
|
100% |
1888
351.1 IPS |
|
|
Image Classification (Q)
|
99% |
1760
328.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1661
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3452
56.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3278
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1577
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2457
2.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
2461
2.88 IPS |
|
|
Object Detection (SP)
|
100% |
553
43.8 IPS |
|
|
Object Detection (HP)
|
100% |
1375
109.0 IPS |
|
|
Object Detection (Q)
|
86% |
1354
108.8 IPS |
|
|
Face Detection (SP)
|
100% |
3003
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5916
70.3 IPS |
|
|
Face Detection (Q)
|
97% |
5464
65.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1565
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4405
34.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
3700
34.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5833
7.50 IPS |
|
|
Style Transfer (HP)
|
100% |
12569
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
12451
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
665
24.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2037
75.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2036
75.4 IPS |
|
|
Text Classification (SP)
|
100% |
628
838.8 IPS |
|
|
Text Classification (HP)
|
100% |
649
866.1 IPS |
|
|
Text Classification (Q)
|
91% |
1060
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (Q)
|
57% |
773
18.9 IPS |
