Asus Zenfone 8
Geekbench AI Score
512
Single Precision Score
795
Half Precision Score
101
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 12 2024 01:47 PM |
| Views | 9 |
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% |
579
107.7 IPS |
|
|
Image Classification (HP)
|
100% |
1127
209.7 IPS |
|
|
Image Classification (Q)
|
94% |
18
3.31 IPS |
|
|
Image Segmentation (SP)
|
100% |
1002
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1622
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
496
8.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
1926
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
7011
8.18 IPS |
|
|
Pose Estimation (Q)
|
98% |
1000
1.17 IPS |
|
|
Object Detection (SP)
|
100% |
577
45.8 IPS |
|
|
Object Detection (HP)
|
99% |
1007
79.9 IPS |
|
|
Object Detection (Q)
|
2% |
12
297.7 IPS |
|
|
Face Detection (SP)
|
100% |
1617
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
332
3.95 IPS |
|
|
Face Detection (Q)
|
97% |
924
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
538
4.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
278
2.15 IPS |
|
|
Depth Estimation (Q)
|
5% |
36
60.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1870
2.40 IPS |
|
|
Style Transfer (HP)
|
100% |
485
0.62 IPS |
|
|
Style Transfer (Q)
|
18% |
13
0.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1016
37.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3172
117.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
256
9.49 IPS |
|
|
Text Classification (SP)
|
100% |
4
5.99 IPS |
|
|
Text Classification (HP)
|
100% |
183
244.6 IPS |
|
|
Text Classification (Q)
|
93% |
34
45.5 IPS |
|
|
Machine Translation (SP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (HP)
|
100% |
302
5.21 IPS |
|
|
Machine Translation (Q)
|
57% |
296
7.23 IPS |
