Asus Zenfone 8
Geekbench AI Score
261
Single Precision Score
320
Half Precision Score
46
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | FoxKyong |
| Upload Date | August 18 2024 12:01 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Asus Zenfone 8 |
| Model ID | asus ASUS_I006D |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 14.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
360
66.9 IPS |
|
|
Image Classification (HP)
|
100% |
563
104.7 IPS |
|
|
Image Classification (Q)
|
94% |
17
3.18 IPS |
|
|
Image Segmentation (SP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1121
18.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
86
1.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
1313
1.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3803
4.44 IPS |
|
|
Pose Estimation (Q)
|
98% |
254
0.30 IPS |
|
|
Object Detection (SP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (HP)
|
99% |
603
47.8 IPS |
|
|
Object Detection (Q)
|
2% |
7
168.5 IPS |
|
|
Face Detection (SP)
|
100% |
1155
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
77
0.92 IPS |
|
|
Face Detection (Q)
|
97% |
203
2.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
170
1.31 IPS |
|
|
Depth Estimation (HP)
|
100% |
75
0.58 IPS |
|
|
Depth Estimation (Q)
|
4% |
27
50.6 IPS |
|
|
Style Transfer (SP)
|
100% |
617
0.79 IPS |
|
|
Style Transfer (HP)
|
100% |
137
0.18 IPS |
|
|
Style Transfer (Q)
|
18% |
9
0.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
668
24.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2158
79.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
255
9.43 IPS |
|
|
Text Classification (SP)
|
100% |
2
3.22 IPS |
|
|
Text Classification (HP)
|
100% |
54
71.6 IPS |
|
|
Text Classification (Q)
|
93% |
22
28.9 IPS |
|
|
Machine Translation (SP)
|
100% |
87
1.49 IPS |
|
|
Machine Translation (HP)
|
100% |
85
1.47 IPS |
|
|
Machine Translation (Q)
|
57% |
70
1.70 IPS |
