asus ASUSAI2501C
Geekbench AI Score
720
Single Precision Score
28252
Half Precision Score
63853
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 15 2025 12:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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 | 14.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
450
83.8 IPS |
|
|
Image Classification (HP)
|
100% |
21550
4.01 KIPS |
|
|
Image Classification (Q)
|
97% |
50155
9.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
579
9.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
14710
238.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
43551
708.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
729
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
121376
141.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
479607
561.4 IPS |
|
|
Object Detection (SP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (HP)
|
100% |
20252
1.61 KIPS |
|
|
Object Detection (Q)
|
85% |
23868
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
1067
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
45775
543.9 IPS |
|
|
Face Detection (Q)
|
97% |
162574
1.94 KIPS |
|
|
Depth Estimation (SP)
|
100% |
918
7.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
85316
657.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
149594
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
1553
2.00 IPS |
|
|
Style Transfer (HP)
|
98% |
99302
128.0 IPS |
|
|
Style Transfer (Q)
|
98% |
497285
641.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
479
17.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55204
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135418
5.02 KIPS |
|
|
Text Classification (SP)
|
100% |
626
836.1 IPS |
|
|
Text Classification (HP)
|
100% |
3941
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
8221
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1048
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4928
84.9 IPS |
|
|
Machine Translation (Q)
|
56% |
3347
86.2 IPS |
