Asus Zenfone 8
Geekbench AI Score
306
Single Precision Score
570
Half Precision Score
623
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | FoxKyong |
| Upload Date | February 12 2026 02:51 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
173
32.2 IPS |
|
|
Image Classification (HP)
|
100% |
373
69.3 IPS |
|
|
Image Classification (Q)
|
99% |
436
81.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
174
2.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
406
6.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
511
8.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
625
0.73 IPS |
|
|
Pose Estimation (HP)
|
92% |
1306
1.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
1181
1.38 IPS |
|
|
Object Detection (SP)
|
100% |
157
12.4 IPS |
|
|
Object Detection (HP)
|
97% |
312
24.8 IPS |
|
|
Object Detection (Q)
|
85% |
400
32.2 IPS |
|
|
Face Detection (SP)
|
100% |
344
4.09 IPS |
|
|
Face Detection (HP)
|
100% |
689
8.19 IPS |
|
|
Face Detection (Q)
|
97% |
868
10.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
520
4.01 IPS |
|
|
Depth Estimation (HP)
|
98% |
1053
8.14 IPS |
|
|
Depth Estimation (Q)
|
64% |
1017
9.38 IPS |
|
|
Style Transfer (SP)
|
89% |
1079
1.40 IPS |
|
|
Style Transfer (HP)
|
88% |
1462
1.90 IPS |
|
|
Style Transfer (Q)
|
98% |
2436
3.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
293
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
571
21.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
632
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
173
230.3 IPS |
|
|
Text Classification (HP)
|
100% |
278
371.3 IPS |
|
|
Text Classification (Q)
|
93% |
283
380.1 IPS |
|
|
Machine Translation (SP)
|
100% |
252
4.35 IPS |
|
|
Machine Translation (HP)
|
96% |
351
6.07 IPS |
|
|
Machine Translation (Q)
|
55% |
221
5.93 IPS |
