Asus Zenfone 8
Geekbench AI Score
276
Single Precision Score
300
Half Precision Score
291
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | FoxKyong |
| Upload Date | August 18 2024 11:30 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
272
50.6 IPS |
|
|
Image Classification (HP)
|
100% |
250
46.6 IPS |
|
|
Image Classification (Q)
|
97% |
231
43.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
209
3.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
202
3.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
474
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
259
0.30 IPS |
|
|
Pose Estimation (Q)
|
95% |
255
0.30 IPS |
|
|
Object Detection (SP)
|
100% |
176
13.9 IPS |
|
|
Object Detection (HP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (Q)
|
86% |
175
14.1 IPS |
|
|
Face Detection (SP)
|
100% |
777
9.24 IPS |
|
|
Face Detection (HP)
|
100% |
986
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
915
10.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
632
4.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
788
6.07 IPS |
|
|
Depth Estimation (Q)
|
75% |
613
4.96 IPS |
|
|
Style Transfer (SP)
|
100% |
1165
1.50 IPS |
|
|
Style Transfer (HP)
|
100% |
1964
2.52 IPS |
|
|
Style Transfer (Q)
|
98% |
1947
2.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
238
8.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
348
12.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
304
11.3 IPS |
|
|
Text Classification (SP)
|
100% |
53
70.2 IPS |
|
|
Text Classification (HP)
|
100% |
53
71.2 IPS |
|
|
Text Classification (Q)
|
91% |
96
129.4 IPS |
|
|
Machine Translation (SP)
|
100% |
85
1.46 IPS |
|
|
Machine Translation (HP)
|
100% |
85
1.47 IPS |
|
|
Machine Translation (Q)
|
57% |
66
1.62 IPS |
