asus ASUSAI2501C
Geekbench AI Score
2478
Single Precision Score
2922
Half Precision Score
5384
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 26 2025 02:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
326
60.6 IPS |
|
|
Image Classification (HP)
|
100% |
2001
372.1 IPS |
|
|
Image Classification (Q)
|
100% |
4542
844.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2626
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2653
43.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5668
92.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5576
6.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
5420
6.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
13808
16.4 IPS |
|
|
Object Detection (SP)
|
98% |
1814
144.4 IPS |
|
|
Object Detection (HP)
|
98% |
1731
137.7 IPS |
|
|
Object Detection (Q)
|
83% |
4189
338.3 IPS |
|
|
Face Detection (SP)
|
100% |
4631
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
4640
55.1 IPS |
|
|
Face Detection (Q)
|
95% |
10301
123.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4691
36.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4762
36.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
11045
101.2 IPS |
|
|
Style Transfer (SP)
|
89% |
11959
15.5 IPS |
|
|
Style Transfer (HP)
|
89% |
11660
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
26475
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2562
94.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2483
91.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6825
252.9 IPS |
|
|
Text Classification (SP)
|
100% |
1047
1.40 KIPS |
|
|
Text Classification (HP)
|
99% |
1027
1.37 KIPS |
|
|
Text Classification (Q)
|
88% |
1108
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1450
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1387
23.9 IPS |
|
|
Machine Translation (Q)
|
50% |
604
21.4 IPS |
