samsung SM-S928B
Geekbench AI Score
1049
Single Precision Score
1043
Half Precision Score
1876
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 07:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S928B |
| Model ID | samsung SM-S928B |
| Motherboard | exynos990 |
| Governor | performance |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 4 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.60 GHz |
| Cluster 3 | 2 Cores @ 3.02 GHz |
| Memory Information | |
|---|---|
| Size | 10.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
544
101.2 IPS |
|
|
Image Classification (HP)
|
100% |
545
101.4 IPS |
|
|
Image Classification (Q)
|
100% |
1439
267.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
625
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1574
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2551
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2457
2.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
3864
4.58 IPS |
|
|
Object Detection (SP)
|
100% |
520
41.3 IPS |
|
|
Object Detection (HP)
|
100% |
525
41.6 IPS |
|
|
Object Detection (Q)
|
83% |
1237
100.0 IPS |
|
|
Face Detection (SP)
|
100% |
1498
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
1501
17.8 IPS |
|
|
Face Detection (Q)
|
95% |
3134
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1665
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1639
12.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3262
29.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4045
5.25 IPS |
|
|
Style Transfer (HP)
|
89% |
4067
5.28 IPS |
|
|
Style Transfer (Q)
|
98% |
7891
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
996
36.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
972
35.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1892
70.1 IPS |
|
|
Text Classification (SP)
|
100% |
464
619.3 IPS |
|
|
Text Classification (HP)
|
100% |
458
611.3 IPS |
|
|
Text Classification (Q)
|
88% |
737
994.6 IPS |
|
|
Machine Translation (SP)
|
100% |
768
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
760
13.1 IPS |
|
|
Machine Translation (Q)
|
50% |
444
15.8 IPS |
