Asus Zenfone 10
Geekbench AI Score
461
Single Precision Score
10402
Half Precision Score
25081
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 06:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Asus Zenfone 10 |
| Model ID | asus ASUS_AI2302 |
| 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 | 7.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
265
49.3 IPS |
|
|
Image Classification (HP)
|
100% |
7946
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
18100
3.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
356
5.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
4535
73.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16317
265.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
475
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
40673
47.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
160109
187.4 IPS |
|
|
Object Detection (SP)
|
100% |
278
22.0 IPS |
|
|
Object Detection (HP)
|
100% |
7482
593.5 IPS |
|
|
Object Detection (Q)
|
86% |
10975
882.5 IPS |
|
|
Face Detection (SP)
|
100% |
696
8.27 IPS |
|
|
Face Detection (HP)
|
100% |
15213
180.8 IPS |
|
|
Face Detection (Q)
|
97% |
55079
656.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
595
4.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
26214
202.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
65782
619.6 IPS |
|
|
Style Transfer (SP)
|
100% |
967
1.24 IPS |
|
|
Style Transfer (HP)
|
100% |
30709
39.5 IPS |
|
|
Style Transfer (Q)
|
98% |
155353
200.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19590
723.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
48084
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
416
555.2 IPS |
|
|
Text Classification (HP)
|
100% |
1615
2.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4922
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
659
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3491
60.1 IPS |
|
|
Machine Translation (Q)
|
55% |
1425
37.3 IPS |
