asus ASUSAI2501C
Geekbench AI Score
710
Single Precision Score
28136
Half Precision Score
63400
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | ShinRasetsu |
| Upload Date | September 24 2025 04:27 AM |
| Views | 15 |
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 | 22.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
438
81.5 IPS |
|
|
Image Classification (HP)
|
100% |
21492
4.00 KIPS |
|
|
Image Classification (Q)
|
97% |
50119
9.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
524
8.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
14705
238.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
43494
707.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
719
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
121458
141.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
479435
561.2 IPS |
|
|
Object Detection (SP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (HP)
|
100% |
20305
1.61 KIPS |
|
|
Object Detection (Q)
|
85% |
23852
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
1068
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
44581
529.7 IPS |
|
|
Face Detection (Q)
|
97% |
158381
1.89 KIPS |
|
|
Depth Estimation (SP)
|
100% |
912
7.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
85231
656.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
149608
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
1541
1.98 IPS |
|
|
Style Transfer (HP)
|
98% |
99267
128.0 IPS |
|
|
Style Transfer (Q)
|
98% |
495227
638.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55235
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135711
5.03 KIPS |
|
|
Text Classification (SP)
|
100% |
645
860.8 IPS |
|
|
Text Classification (HP)
|
100% |
3955
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
8212
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4842
83.4 IPS |
|
|
Machine Translation (Q)
|
56% |
3219
82.9 IPS |
