samsung SM-S911B
Geekbench AI Score
403
Single Precision Score
679
Half Precision Score
89
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 06 2024 06:59 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM SM8350 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S911B |
| Model ID | samsung SM-S911B |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM8350 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 5.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
327
60.8 IPS |
|
|
Image Classification (HP)
|
100% |
643
119.6 IPS |
|
|
Image Classification (Q)
|
94% |
18
3.31 IPS |
|
|
Image Segmentation (SP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
251
4.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
1732
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
5525
6.45 IPS |
|
|
Pose Estimation (Q)
|
98% |
797
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
591
46.9 IPS |
|
|
Object Detection (HP)
|
99% |
988
78.4 IPS |
|
|
Object Detection (Q)
|
2% |
13
320.0 IPS |
|
|
Face Detection (SP)
|
100% |
1560
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
411
4.88 IPS |
|
|
Face Detection (Q)
|
97% |
975
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
497
3.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
333
2.57 IPS |
|
|
Depth Estimation (Q)
|
5% |
40
67.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1631
2.10 IPS |
|
|
Style Transfer (HP)
|
100% |
291
0.37 IPS |
|
|
Style Transfer (Q)
|
18% |
12
0.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
595
22.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2234
82.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
259
9.61 IPS |
|
|
Text Classification (SP)
|
100% |
3
4.28 IPS |
|
|
Text Classification (HP)
|
100% |
156
208.7 IPS |
|
|
Text Classification (Q)
|
93% |
34
46.0 IPS |
|
|
Machine Translation (SP)
|
100% |
226
3.90 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.81 IPS |
|
|
Machine Translation (Q)
|
57% |
178
4.35 IPS |
