ASUS ROG Phone 8 Pro asus ASUS_AI2401_D
Geekbench AI Score
2079
Single Precision Score
1953
Half Precision Score
2906
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | SoKaRaGi |
| Upload Date | March 27 2025 05:31 PM |
| Views | 19 |
| Notes | asus ASUS_AI2401_D |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 14.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2193
407.8 IPS |
|
|
Image Classification (HP)
|
100% |
1773
329.8 IPS |
|
|
Image Classification (Q)
|
100% |
2906
540.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2303
37.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3510
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3334
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2732
3.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
5806
6.89 IPS |
|
|
Object Detection (SP)
|
98% |
1292
102.8 IPS |
|
|
Object Detection (HP)
|
98% |
1253
99.7 IPS |
|
|
Object Detection (Q)
|
83% |
1762
142.4 IPS |
|
|
Face Detection (SP)
|
100% |
2793
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
2849
33.8 IPS |
|
|
Face Detection (Q)
|
95% |
4235
50.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2757
21.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2513
19.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4271
39.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6603
8.57 IPS |
|
|
Style Transfer (HP)
|
89% |
6656
8.64 IPS |
|
|
Style Transfer (Q)
|
98% |
11807
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1387
51.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1356
50.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3022
112.0 IPS |
|
|
Text Classification (SP)
|
100% |
663
885.5 IPS |
|
|
Text Classification (HP)
|
99% |
710
947.7 IPS |
|
|
Text Classification (Q)
|
88% |
1091
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1466
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1261
21.7 IPS |
|
|
Machine Translation (Q)
|
50% |
585
20.8 IPS |
