Samsung SM-S926B CPU samsung SM-S926B
Geekbench AI Score
724
Single Precision Score
712
Half Precision Score
1288
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | EurasianDynasty |
| Upload Date | July 10 2025 06:18 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
513
95.3 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.4 IPS |
|
|
Image Classification (Q)
|
100% |
1400
260.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
498
8.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
462
7.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
1351
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1669
1.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
1484
1.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
2125
2.52 IPS |
|
|
Object Detection (SP)
|
100% |
288
22.8 IPS |
|
|
Object Detection (HP)
|
100% |
294
23.3 IPS |
|
|
Object Detection (Q)
|
83% |
794
64.1 IPS |
|
|
Face Detection (SP)
|
100% |
965
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
982
11.7 IPS |
|
|
Face Detection (Q)
|
95% |
2044
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1306
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1308
10.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
1936
17.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2410
3.13 IPS |
|
|
Style Transfer (HP)
|
89% |
2413
3.13 IPS |
|
|
Style Transfer (Q)
|
98% |
4926
6.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
703
26.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
705
26.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1171
43.4 IPS |
|
|
Text Classification (SP)
|
100% |
314
419.0 IPS |
|
|
Text Classification (HP)
|
100% |
312
416.4 IPS |
|
|
Text Classification (Q)
|
88% |
557
750.7 IPS |
|
|
Machine Translation (SP)
|
100% |
484
8.33 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (Q)
|
50% |
312
11.1 IPS |
