Samsung Galaxy S8
Geekbench AI Score
585
Single Precision Score
1038
Half Precision Score
800
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 15 2025 11:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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)
|
100% |
343
63.7 IPS |
|
|
Image Classification (HP)
|
100% |
560
104.1 IPS |
|
|
Image Classification (Q)
|
97% |
523
97.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
598
9.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
1006
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
912
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2503
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
5450
6.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
5455
6.39 IPS |
|
|
Object Detection (SP)
|
100% |
306
24.3 IPS |
|
|
Object Detection (HP)
|
99% |
611
48.5 IPS |
|
|
Object Detection (Q)
|
83% |
577
46.6 IPS |
|
|
Face Detection (SP)
|
100% |
1328
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
2144
25.5 IPS |
|
|
Face Detection (Q)
|
96% |
1842
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1321
10.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2659
20.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
2088
19.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2816
3.62 IPS |
|
|
Style Transfer (HP)
|
100% |
6010
7.73 IPS |
|
|
Style Transfer (Q)
|
98% |
5919
7.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
819
30.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1619
59.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1587
58.8 IPS |
|
|
Text Classification (SP)
|
35% |
22
202.4 IPS |
|
|
Text Classification (HP)
|
35% |
33
300.7 IPS |
|
|
Text Classification (Q)
|
31% |
20
294.1 IPS |
|
|
Machine Translation (SP)
|
100% |
337
5.80 IPS |
|
|
Machine Translation (HP)
|
100% |
424
7.31 IPS |
|
|
Machine Translation (Q)
|
43% |
99
5.77 IPS |
