Asus Zenfone 11 Ultra
Geekbench AI Score
279
Single Precision Score
279
Half Precision Score
621
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 08:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Asus Zenfone 11 Ultra |
| Model ID | asus ASUS_AI2401_H |
| 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 | 11.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
161
30.0 IPS |
|
|
Image Classification (HP)
|
100% |
162
30.0 IPS |
|
|
Image Classification (Q)
|
99% |
405
75.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
216
3.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
217
3.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
431
7.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
277
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
277
0.32 IPS |
|
|
Pose Estimation (Q)
|
98% |
1063
1.24 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
161
12.7 IPS |
|
|
Object Detection (Q)
|
87% |
437
35.0 IPS |
|
|
Face Detection (SP)
|
100% |
474
5.63 IPS |
|
|
Face Detection (HP)
|
100% |
475
5.65 IPS |
|
|
Face Detection (Q)
|
97% |
910
10.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
375
2.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
375
2.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
864
7.84 IPS |
|
|
Style Transfer (SP)
|
100% |
673
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
673
0.87 IPS |
|
|
Style Transfer (Q)
|
98% |
1880
2.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
180
6.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
180
6.66 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
619
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
223
297.7 IPS |
|
|
Text Classification (HP)
|
100% |
223
297.5 IPS |
|
|
Text Classification (Q)
|
91% |
360
483.3 IPS |
|
|
Machine Translation (SP)
|
100% |
389
6.70 IPS |
|
|
Machine Translation (HP)
|
100% |
388
6.69 IPS |
|
|
Machine Translation (Q)
|
57% |
321
7.83 IPS |
