Asus Zenfone 8
Geekbench AI Score
852
Single Precision Score
1314
Half Precision Score
1183
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | FoxKyong |
| Upload Date | February 12 2026 02:57 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
652
121.2 IPS |
|
|
Image Classification (HP)
|
100% |
955
177.6 IPS |
|
|
Image Classification (Q)
|
99% |
864
161.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1112
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1715
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1494
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4306
5.02 IPS |
|
|
Pose Estimation (HP)
|
99% |
7239
8.45 IPS |
|
|
Pose Estimation (Q)
|
97% |
7114
8.33 IPS |
|
|
Object Detection (SP)
|
100% |
451
35.8 IPS |
|
|
Object Detection (HP)
|
99% |
718
56.9 IPS |
|
|
Object Detection (Q)
|
85% |
599
48.2 IPS |
|
|
Face Detection (SP)
|
100% |
1578
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
2496
29.7 IPS |
|
|
Face Detection (Q)
|
97% |
2267
27.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2049
15.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2976
23.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2372
21.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5256
6.76 IPS |
|
|
Style Transfer (HP)
|
100% |
10152
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
10109
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
986
36.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1425
52.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1434
53.1 IPS |
|
|
Text Classification (SP)
|
35% |
29
285.8 IPS |
|
|
Text Classification (HP)
|
35% |
47
431.8 IPS |
|
|
Text Classification (Q)
|
35% |
45
410.0 IPS |
|
|
Machine Translation (SP)
|
100% |
296
5.11 IPS |
|
|
Machine Translation (HP)
|
97% |
357
6.17 IPS |
|
|
Machine Translation (Q)
|
64% |
280
5.75 IPS |
