Asus Zenfone 11 Ultra
Geekbench AI Score
262
Single Precision Score
20099
Half Precision Score
48847
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for Android AArch64
Result Information
| Upload Date | September 02 2025 05:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
297
55.2 IPS |
|
|
Image Classification (HP)
|
100% |
16501
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
42711
7.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
10340
167.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
29115
473.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
242
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
76036
88.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
395069
462.4 IPS |
|
|
Object Detection (SP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (HP)
|
100% |
13769
1.09 KIPS |
|
|
Object Detection (Q)
|
86% |
18747
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
418
4.97 IPS |
|
|
Face Detection (HP)
|
100% |
29460
350.1 IPS |
|
|
Face Detection (Q)
|
97% |
100539
1.20 KIPS |
|
|
Depth Estimation (SP)
|
100% |
328
2.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
57565
443.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
112218
1.05 KIPS |
|
|
Style Transfer (SP)
|
100% |
592
0.76 IPS |
|
|
Style Transfer (HP)
|
98% |
81922
105.6 IPS |
|
|
Style Transfer (Q)
|
98% |
422376
544.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
157
5.79 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39335
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103661
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
190
253.4 IPS |
|
|
Text Classification (HP)
|
100% |
3122
4.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6866
9.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (HP)
|
100% |
3531
60.8 IPS |
|
|
Machine Translation (Q)
|
55% |
2476
64.9 IPS |
