asus ASUSAI2501C
Geekbench AI Score
1292
Single Precision Score
2511
Half Precision Score
2460
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | oldnick |
| Upload Date | January 08 2025 02:11 PM |
| Views | 4 |
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% |
758
141.0 IPS |
|
|
Image Classification (HP)
|
100% |
1900
353.3 IPS |
|
|
Image Classification (Q)
|
99% |
1796
334.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1663
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3463
56.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3237
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1575
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2445
2.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
2456
2.88 IPS |
|
|
Object Detection (SP)
|
100% |
553
43.8 IPS |
|
|
Object Detection (HP)
|
100% |
1371
108.7 IPS |
|
|
Object Detection (Q)
|
86% |
1357
109.0 IPS |
|
|
Face Detection (SP)
|
100% |
3015
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5931
70.5 IPS |
|
|
Face Detection (Q)
|
97% |
5464
65.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1565
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4351
33.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
3660
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5828
7.49 IPS |
|
|
Style Transfer (HP)
|
100% |
12497
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
12490
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
660
24.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2069
76.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2024
75.0 IPS |
|
|
Text Classification (SP)
|
100% |
636
848.6 IPS |
|
|
Text Classification (HP)
|
100% |
661
882.4 IPS |
|
|
Text Classification (Q)
|
91% |
1064
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1027
17.7 IPS |
|
|
Machine Translation (Q)
|
57% |
780
19.1 IPS |
