Samsung Galaxy S8
Geekbench AI Score
14
Single Precision Score
14
Half Precision Score
8
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 15 2025 11:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 8895 Octa |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy S8 |
| Model ID | samsung SM-G950F |
| Motherboard | universal8895 |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 4 part 1 revision 0 |
| Base Frequency | 1.69 GHz |
| Cluster 1 | 4 Cores @ 1.69 GHz |
| Cluster 2 | 4 Cores @ 2.31 GHz |
| Memory Information | |
|---|---|
| Size | 3.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
2.68 KIPS |
|
|
Image Classification (HP)
|
0% |
0
2.66 KIPS |
|
|
Image Classification (Q)
|
0% |
0
2.67 KIPS |
|
|
Image Segmentation (SP)
|
73% |
13144
227.1 IPS |
|
|
Image Segmentation (HP)
|
73% |
13108
226.5 IPS |
|
|
Image Segmentation (Q)
|
73% |
27343
472.5 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
605.1 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
603.1 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
1.96 KIPS |
|
|
Object Detection (SP)
|
0% |
0
879.7 IPS |
|
|
Object Detection (HP)
|
0% |
0
873.8 IPS |
|
|
Object Detection (Q)
|
0% |
0
654.7 IPS |
|
|
Face Detection (SP)
|
0% |
0
302.0 IPS |
|
|
Face Detection (HP)
|
0% |
0
301.6 IPS |
|
|
Face Detection (Q)
|
0% |
0
430.3 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
585.0 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
583.4 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
504.6 IPS |
|
|
Style Transfer (SP)
|
32% |
107902
1.35 KIPS |
|
|
Style Transfer (HP)
|
32% |
107861
1.35 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
4.40 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.88 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
200
2.36 KIPS |
|
|
Text Classification (SP)
|
29% |
401
6.93 KIPS |
|
|
Text Classification (HP)
|
29% |
395
6.82 KIPS |
|
|
Text Classification (Q)
|
29% |
259
4.47 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
5.77 IPS |
|
|
Machine Translation (HP)
|
0% |
0
5.63 IPS |
|
|
Machine Translation (Q)
|
0% |
0
4.47 IPS |
