asus ASUS_AI2401_D
Geekbench AI Score
379
Single Precision Score
381
Half Precision Score
847
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | jcardoso |
| Upload Date | August 15 2024 10:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
224
41.6 IPS |
|
|
Image Classification (HP)
|
100% |
226
42.1 IPS |
|
|
Image Classification (Q)
|
97% |
572
106.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
286
4.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
288
4.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
580
9.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
402
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
402
0.47 IPS |
|
|
Pose Estimation (Q)
|
98% |
1497
1.75 IPS |
|
|
Object Detection (SP)
|
100% |
221
17.6 IPS |
|
|
Object Detection (HP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (Q)
|
89% |
616
49.3 IPS |
|
|
Face Detection (SP)
|
100% |
559
6.65 IPS |
|
|
Face Detection (HP)
|
100% |
565
6.72 IPS |
|
|
Face Detection (Q)
|
97% |
1277
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
504
3.89 IPS |
|
|
Depth Estimation (HP)
|
100% |
507
3.91 IPS |
|
|
Depth Estimation (Q)
|
73% |
1277
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
824
1.06 IPS |
|
|
Style Transfer (HP)
|
100% |
821
1.06 IPS |
|
|
Style Transfer (Q)
|
98% |
1922
2.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
262
9.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
263
9.73 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
883
32.7 IPS |
|
|
Text Classification (SP)
|
100% |
329
439.2 IPS |
|
|
Text Classification (HP)
|
100% |
329
439.4 IPS |
|
|
Text Classification (Q)
|
91% |
529
711.3 IPS |
|
|
Machine Translation (SP)
|
100% |
543
9.36 IPS |
|
|
Machine Translation (HP)
|
100% |
545
9.38 IPS |
|
|
Machine Translation (Q)
|
57% |
427
10.4 IPS |
