asus ASUS_AI2401_D
Geekbench AI Score
500
Single Precision Score
15307
Half Precision Score
39918
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | jcardoso |
| Upload Date | September 25 2024 09:25 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | asus ASUS_AI2401_D |
| Model ID | asus ASUS_AI2401_D |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 22.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
324
60.3 IPS |
|
|
Image Classification (HP)
|
100% |
16478
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
43463
8.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
397
6.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
10804
175.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
29512
479.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
531
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
77279
90.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
399448
467.5 IPS |
|
|
Object Detection (SP)
|
100% |
294
23.4 IPS |
|
|
Object Detection (HP)
|
100% |
14910
1.18 KIPS |
|
|
Object Detection (Q)
|
86% |
19440
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
721
8.56 IPS |
|
|
Face Detection (HP)
|
100% |
33638
399.7 IPS |
|
|
Face Detection (Q)
|
97% |
129561
1.55 KIPS |
|
|
Depth Estimation (SP)
|
100% |
636
4.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
57017
439.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
117677
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
1019
1.31 IPS |
|
|
Style Transfer (HP)
|
24% |
3701
112.0 IPS |
|
|
Style Transfer (Q)
|
98% |
306741
395.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
337
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39979
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
111716
4.14 KIPS |
|
|
Text Classification (SP)
|
100% |
442
590.4 IPS |
|
|
Text Classification (HP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6808
9.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
701
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3799
65.4 IPS |
|
|
Machine Translation (Q)
|
30% |
290
58.3 IPS |
