Asus Zenfone 10
Geekbench AI Score
460
Single Precision Score
10395
Half Precision Score
25067
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 | 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% |
7963
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
18091
3.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
356
5.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
4538
73.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16295
265.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
472
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
40699
47.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
160184
187.5 IPS |
|
|
Object Detection (SP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (HP)
|
100% |
7489
594.1 IPS |
|
|
Object Detection (Q)
|
86% |
10967
881.8 IPS |
|
|
Face Detection (SP)
|
100% |
691
8.21 IPS |
|
|
Face Detection (HP)
|
100% |
15186
180.4 IPS |
|
|
Face Detection (Q)
|
97% |
55011
656.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
592
4.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
26222
202.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
65994
621.6 IPS |
|
|
Style Transfer (SP)
|
100% |
965
1.24 IPS |
|
|
Style Transfer (HP)
|
100% |
30719
39.5 IPS |
|
|
Style Transfer (Q)
|
98% |
155157
200.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19569
722.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
48084
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
422
563.2 IPS |
|
|
Text Classification (HP)
|
100% |
1610
2.15 KIPS |
|
|
Text Classification (Q)
|
93% |
4915
6.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
654
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3473
59.8 IPS |
|
|
Machine Translation (Q)
|
55% |
1421
37.2 IPS |
