asus ASUSAI2501C
Geekbench AI Score
2969
Single Precision Score
3042
Half Precision Score
5542
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 01 2026 12:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 14.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1550
288.3 IPS |
|
|
Image Classification (HP)
|
100% |
2218
412.5 IPS |
|
|
Image Classification (Q)
|
100% |
4763
885.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2666
43.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2677
43.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5821
94.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5943
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
5224
6.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
14290
16.9 IPS |
|
|
Object Detection (SP)
|
98% |
1898
151.0 IPS |
|
|
Object Detection (HP)
|
98% |
1921
152.8 IPS |
|
|
Object Detection (Q)
|
83% |
4479
361.8 IPS |
|
|
Face Detection (SP)
|
100% |
4742
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
4758
56.5 IPS |
|
|
Face Detection (Q)
|
95% |
10313
123.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
5019
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4907
37.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
11380
104.2 IPS |
|
|
Style Transfer (SP)
|
89% |
12182
15.8 IPS |
|
|
Style Transfer (HP)
|
89% |
12186
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27037
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2534
93.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2608
96.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7157
265.2 IPS |
|
|
Text Classification (SP)
|
100% |
1037
1.38 KIPS |
|
|
Text Classification (HP)
|
99% |
1043
1.39 KIPS |
|
|
Text Classification (Q)
|
88% |
1088
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1500
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1476
25.4 IPS |
|
|
Machine Translation (Q)
|
50% |
624
22.2 IPS |
