asus ASUSAI2501C
Geekbench AI Score
2995
Single Precision Score
2966
Half Precision Score
5392
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | oldnick |
| Upload Date | January 08 2025 02:07 PM |
| Views | 4 |
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% |
2244
417.3 IPS |
|
|
Image Classification (HP)
|
100% |
2198
408.7 IPS |
|
|
Image Classification (Q)
|
100% |
4740
881.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2632
42.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2532
41.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5656
92.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5654
6.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
5473
6.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
13750
16.3 IPS |
|
|
Object Detection (SP)
|
98% |
1801
143.3 IPS |
|
|
Object Detection (HP)
|
98% |
1852
147.4 IPS |
|
|
Object Detection (Q)
|
83% |
4196
338.9 IPS |
|
|
Face Detection (SP)
|
100% |
4508
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
4577
54.4 IPS |
|
|
Face Detection (Q)
|
95% |
10429
124.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4775
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4696
36.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
10730
98.3 IPS |
|
|
Style Transfer (SP)
|
89% |
11609
15.1 IPS |
|
|
Style Transfer (HP)
|
89% |
11661
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25807
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2507
92.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2517
92.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6914
256.2 IPS |
|
|
Text Classification (SP)
|
100% |
1051
1.40 KIPS |
|
|
Text Classification (HP)
|
99% |
1026
1.37 KIPS |
|
|
Text Classification (Q)
|
88% |
1098
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1470
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1447
24.9 IPS |
|
|
Machine Translation (Q)
|
50% |
613
21.8 IPS |
