samsung SM-S928B
Geekbench AI Score
1078
Single Precision Score
1881
Half Precision Score
1483
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 13 2025 10:15 AM |
| Views | 4 |
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% |
724
134.7 IPS |
|
|
Image Classification (HP)
|
100% |
1299
241.7 IPS |
|
|
Image Classification (Q)
|
97% |
1077
201.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1125
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2236
36.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2178
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4963
5.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
9712
11.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9497
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (HP)
|
99% |
999
79.2 IPS |
|
|
Object Detection (Q)
|
83% |
876
70.8 IPS |
|
|
Face Detection (SP)
|
100% |
2217
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
3843
45.7 IPS |
|
|
Face Detection (Q)
|
96% |
3086
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2662
20.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
4573
35.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
3545
33.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8290
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17695
22.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17907
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1508
55.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2926
108.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2900
107.5 IPS |
|
|
Text Classification (SP)
|
29% |
20
341.1 IPS |
|
|
Text Classification (HP)
|
29% |
28
477.3 IPS |
|
|
Text Classification (Q)
|
29% |
27
467.8 IPS |
|
|
Machine Translation (SP)
|
100% |
568
9.79 IPS |
|
|
Machine Translation (HP)
|
100% |
773
13.3 IPS |
|
|
Machine Translation (Q)
|
43% |
173
10.1 IPS |
