Asus Zenfone 10
Geekbench AI Score
2285
Single Precision Score
2274
Half Precision Score
3657
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 05:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1697
315.6 IPS |
|
|
Image Classification (HP)
|
100% |
1703
316.7 IPS |
|
|
Image Classification (Q)
|
100% |
2788
518.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1944
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2013
32.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3068
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3204
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3121
3.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
7399
8.78 IPS |
|
|
Object Detection (SP)
|
98% |
1801
143.3 IPS |
|
|
Object Detection (HP)
|
98% |
1781
141.8 IPS |
|
|
Object Detection (Q)
|
83% |
2670
215.7 IPS |
|
|
Face Detection (SP)
|
100% |
3303
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
3381
40.2 IPS |
|
|
Face Detection (Q)
|
95% |
5957
71.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3198
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3207
24.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5588
51.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7835
10.2 IPS |
|
|
Style Transfer (HP)
|
89% |
7743
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15383
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1719
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1648
60.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4048
150.0 IPS |
|
|
Text Classification (SP)
|
100% |
873
1.16 KIPS |
|
|
Text Classification (HP)
|
99% |
877
1.17 KIPS |
|
|
Text Classification (Q)
|
88% |
1445
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1648
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1602
27.6 IPS |
|
|
Machine Translation (Q)
|
50% |
846
30.0 IPS |
