asus ASUSAI2501C
Geekbench AI Score
694
Single Precision Score
695
Half Precision Score
1626
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | oldnick |
| Upload Date | January 08 2025 02:17 PM |
| Views | 5 |
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% |
405
75.4 IPS |
|
|
Image Classification (HP)
|
100% |
415
77.1 IPS |
|
|
Image Classification (Q)
|
99% |
1135
211.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
538
8.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
539
8.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
1086
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
717
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
710
0.83 IPS |
|
|
Pose Estimation (Q)
|
98% |
2818
3.30 IPS |
|
|
Object Detection (SP)
|
100% |
397
31.5 IPS |
|
|
Object Detection (HP)
|
100% |
399
31.7 IPS |
|
|
Object Detection (Q)
|
87% |
1211
97.1 IPS |
|
|
Face Detection (SP)
|
100% |
999
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
1000
11.9 IPS |
|
|
Face Detection (Q)
|
97% |
2447
29.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
885
6.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
882
6.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
2160
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1530
1.97 IPS |
|
|
Style Transfer (HP)
|
100% |
1524
1.96 IPS |
|
|
Style Transfer (Q)
|
98% |
4183
5.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
476
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1715
63.6 IPS |
|
|
Text Classification (SP)
|
100% |
648
864.7 IPS |
|
|
Text Classification (HP)
|
100% |
648
864.7 IPS |
|
|
Text Classification (Q)
|
91% |
1054
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1015
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (Q)
|
57% |
773
18.9 IPS |
