samsung SM-S928B
Geekbench AI Score
641
Single Precision Score
1129
Half Precision Score
870
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 13 2025 10:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S928B |
| Model ID | samsung SM-S928B |
| Motherboard | exynos2100 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 4 Cores @ 2.21 GHz |
| Cluster 2 | 3 Cores @ 2.81 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
391
72.7 IPS |
|
|
Image Classification (HP)
|
100% |
712
132.3 IPS |
|
|
Image Classification (Q)
|
97% |
600
112.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
680
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1439
23.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1274
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3274
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
5693
6.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
5517
6.47 IPS |
|
|
Object Detection (SP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (HP)
|
99% |
511
40.5 IPS |
|
|
Object Detection (Q)
|
83% |
461
37.2 IPS |
|
|
Face Detection (SP)
|
100% |
1333
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
2845
33.8 IPS |
|
|
Face Detection (Q)
|
96% |
1867
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1382
10.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2282
17.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
1811
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4887
6.28 IPS |
|
|
Style Transfer (HP)
|
100% |
9818
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
9520
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
914
33.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1615
59.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1610
59.7 IPS |
|
|
Text Classification (SP)
|
35% |
20
180.6 IPS |
|
|
Text Classification (HP)
|
29% |
14
248.8 IPS |
|
|
Text Classification (Q)
|
29% |
14
242.2 IPS |
|
|
Machine Translation (SP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (HP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (Q)
|
43% |
177
10.3 IPS |
