asus ASUSAI2501C
Geekbench AI Score
704
Single Precision Score
705
Half Precision Score
1645
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | oldnick |
| Upload Date | January 08 2025 02:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
425
79.0 IPS |
|
|
Image Classification (HP)
|
100% |
432
80.3 IPS |
|
|
Image Classification (Q)
|
99% |
1173
218.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
548
8.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
550
8.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
1101
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
735
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
721
0.84 IPS |
|
|
Pose Estimation (Q)
|
98% |
2872
3.36 IPS |
|
|
Object Detection (SP)
|
100% |
403
31.9 IPS |
|
|
Object Detection (HP)
|
100% |
407
32.3 IPS |
|
|
Object Detection (Q)
|
87% |
1221
98.0 IPS |
|
|
Face Detection (SP)
|
100% |
1000
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
1001
11.9 IPS |
|
|
Face Detection (Q)
|
97% |
2476
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
880
6.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
883
6.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
2173
19.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1546
1.99 IPS |
|
|
Style Transfer (HP)
|
100% |
1543
1.98 IPS |
|
|
Style Transfer (Q)
|
98% |
4207
5.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
477
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
479
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1729
64.1 IPS |
|
|
Text Classification (SP)
|
100% |
653
871.7 IPS |
|
|
Text Classification (HP)
|
100% |
656
875.4 IPS |
|
|
Text Classification (Q)
|
91% |
1057
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1023
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1027
17.7 IPS |
|
|
Machine Translation (Q)
|
57% |
775
18.9 IPS |
