asus ASUSAI2501C
Geekbench AI Score
1286
Single Precision Score
2453
Half Precision Score
2353
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 10 2024 11:12 PM |
| Views | 2 |
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% |
703
130.7 IPS |
|
|
Image Classification (HP)
|
100% |
1605
298.4 IPS |
|
|
Image Classification (Q)
|
99% |
1364
254.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1569
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3238
52.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2852
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1581
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2449
2.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
2454
2.88 IPS |
|
|
Object Detection (SP)
|
100% |
548
43.5 IPS |
|
|
Object Detection (HP)
|
100% |
1288
102.1 IPS |
|
|
Object Detection (Q)
|
86% |
1434
115.2 IPS |
|
|
Face Detection (SP)
|
100% |
2860
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
5864
69.7 IPS |
|
|
Face Detection (Q)
|
97% |
4714
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1576
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4316
33.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
3626
33.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5798
7.45 IPS |
|
|
Style Transfer (HP)
|
100% |
12452
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
12332
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
652
24.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1999
73.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1958
72.6 IPS |
|
|
Text Classification (SP)
|
100% |
695
927.9 IPS |
|
|
Text Classification (HP)
|
100% |
701
935.3 IPS |
|
|
Text Classification (Q)
|
91% |
1095
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1096
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1094
18.8 IPS |
|
|
Machine Translation (Q)
|
57% |
841
20.5 IPS |
