asus ASUS_AI2205_D
Geekbench AI Score
2187
Single Precision Score
2163
Half Precision Score
3429
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Death_Angel_83 |
| Upload Date | October 26 2024 09:48 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | asus ASUS_AI2205_D |
| Model ID | asus ASUS_AI2205_D |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1844
342.9 IPS |
|
|
Image Classification (HP)
|
100% |
1864
346.6 IPS |
|
|
Image Classification (Q)
|
100% |
2925
543.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2022
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2028
32.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3265
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3260
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
3066
3.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
7065
8.38 IPS |
|
|
Object Detection (SP)
|
98% |
1675
133.3 IPS |
|
|
Object Detection (HP)
|
98% |
1691
134.5 IPS |
|
|
Object Detection (Q)
|
83% |
2483
200.6 IPS |
|
|
Face Detection (SP)
|
100% |
3236
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
3196
38.0 IPS |
|
|
Face Detection (Q)
|
95% |
5414
64.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3176
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3106
24.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5480
50.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7254
9.42 IPS |
|
|
Style Transfer (HP)
|
89% |
7227
9.38 IPS |
|
|
Style Transfer (Q)
|
98% |
14141
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1517
56.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1533
56.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3614
133.9 IPS |
|
|
Text Classification (SP)
|
100% |
771
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
769
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
1273
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1414
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1355
23.3 IPS |
|
|
Machine Translation (Q)
|
50% |
697
24.7 IPS |
