Samsung SM-S926B GPU samsung SM-S926B
Geekbench AI Score
1100
Single Precision Score
1791
Half Precision Score
1436
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | EurasianDynasty |
| Upload Date | July 10 2025 06:22 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S926B |
| Model ID | samsung SM-S926B |
| Motherboard | exynos2100 |
| Governor | schedutil |
| 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 @ 2.99 GHz |
| Memory Information | |
|---|---|
| Size | 14.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
749
139.2 IPS |
|
|
Image Classification (HP)
|
100% |
1175
218.6 IPS |
|
|
Image Classification (Q)
|
97% |
998
186.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1072
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1947
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4865
5.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
9074
10.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9130
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
523
41.5 IPS |
|
|
Object Detection (HP)
|
99% |
944
74.9 IPS |
|
|
Object Detection (Q)
|
83% |
823
66.5 IPS |
|
|
Face Detection (SP)
|
100% |
2045
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
3813
45.3 IPS |
|
|
Face Detection (Q)
|
96% |
3296
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2620
20.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
4512
34.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
3585
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7892
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17844
22.9 IPS |
|
|
Style Transfer (Q)
|
98% |
16134
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1396
51.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2901
107.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3081
114.2 IPS |
|
|
Text Classification (SP)
|
35% |
39
350.1 IPS |
|
|
Text Classification (HP)
|
29% |
26
452.1 IPS |
|
|
Text Classification (Q)
|
29% |
26
445.4 IPS |
|
|
Machine Translation (SP)
|
100% |
553
9.52 IPS |
|
|
Machine Translation (HP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (Q)
|
43% |
168
9.78 IPS |
