Asus Zenfone 8
Geekbench AI Score
308
Single Precision Score
315
Half Precision Score
616
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | FoxKyong |
| Upload Date | August 18 2024 11:12 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
172
32.0 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.8 IPS |
|
|
Image Classification (Q)
|
100% |
493
91.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
172
2.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
185
2.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
501
8.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
634
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
637
0.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
1060
1.26 IPS |
|
|
Object Detection (SP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (HP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (Q)
|
87% |
465
37.3 IPS |
|
|
Face Detection (SP)
|
100% |
342
4.07 IPS |
|
|
Face Detection (HP)
|
100% |
355
4.21 IPS |
|
|
Face Detection (Q)
|
95% |
910
10.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
512
3.95 IPS |
|
|
Depth Estimation (HP)
|
100% |
523
4.03 IPS |
|
|
Depth Estimation (Q)
|
75% |
1139
9.24 IPS |
|
|
Style Transfer (SP)
|
89% |
1085
1.41 IPS |
|
|
Style Transfer (HP)
|
89% |
1097
1.42 IPS |
|
|
Style Transfer (Q)
|
98% |
2354
3.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
310
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
310
11.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
626
23.2 IPS |
|
|
Text Classification (SP)
|
100% |
171
228.5 IPS |
|
|
Text Classification (HP)
|
100% |
171
228.0 IPS |
|
|
Text Classification (Q)
|
88% |
275
370.9 IPS |
|
|
Machine Translation (SP)
|
100% |
249
4.28 IPS |
|
|
Machine Translation (HP)
|
100% |
244
4.21 IPS |
|
|
Machine Translation (Q)
|
50% |
155
5.52 IPS |
