Asus Zenfone 11 Ultra
Geekbench AI Score
260
Single Precision Score
242
Half Precision Score
537
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for Android AArch64
Result Information
| Upload Date | September 02 2025 05:14 PM |
| Views | 3 |
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% |
286
53.2 IPS |
|
|
Image Classification (HP)
|
100% |
140
26.0 IPS |
|
|
Image Classification (Q)
|
99% |
349
65.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
187
3.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
187
3.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
371
6.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
241
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
241
0.28 IPS |
|
|
Pose Estimation (Q)
|
98% |
919
1.08 IPS |
|
|
Object Detection (SP)
|
100% |
138
11.0 IPS |
|
|
Object Detection (HP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (Q)
|
87% |
378
30.4 IPS |
|
|
Face Detection (SP)
|
100% |
412
4.90 IPS |
|
|
Face Detection (HP)
|
100% |
415
4.93 IPS |
|
|
Face Detection (Q)
|
97% |
787
9.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
326
2.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
327
2.52 IPS |
|
|
Depth Estimation (Q)
|
64% |
746
6.77 IPS |
|
|
Style Transfer (SP)
|
100% |
590
0.76 IPS |
|
|
Style Transfer (HP)
|
100% |
590
0.76 IPS |
|
|
Style Transfer (Q)
|
98% |
1634
2.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
156
5.75 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
156
5.75 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
531
19.7 IPS |
|
|
Text Classification (SP)
|
100% |
192
256.3 IPS |
|
|
Text Classification (HP)
|
100% |
192
256.8 IPS |
|
|
Text Classification (Q)
|
91% |
311
418.6 IPS |
|
|
Machine Translation (SP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.85 IPS |
|
|
Machine Translation (Q)
|
57% |
280
6.85 IPS |
