samsung SM-S911B
Geekbench AI Score
505
Single Precision Score
815
Half Precision Score
827
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 09 2024 05:37 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S911B |
| Model ID | samsung SM-S911B |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 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 | 5.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
334
62.2 IPS |
|
|
Image Classification (HP)
|
100% |
461
85.6 IPS |
|
|
Image Classification (Q)
|
97% |
406
75.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
474
7.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
891
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
882
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
686
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1355
1.58 IPS |
|
|
Pose Estimation (Q)
|
95% |
1345
1.58 IPS |
|
|
Object Detection (SP)
|
100% |
297
23.5 IPS |
|
|
Object Detection (HP)
|
100% |
412
32.6 IPS |
|
|
Object Detection (Q)
|
89% |
438
35.0 IPS |
|
|
Face Detection (SP)
|
100% |
890
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
1510
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
1525
18.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
803
6.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
1511
11.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
1220
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1548
1.99 IPS |
|
|
Style Transfer (HP)
|
100% |
3773
4.85 IPS |
|
|
Style Transfer (Q)
|
98% |
3746
4.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
385
14.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
841
31.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
827
30.6 IPS |
|
|
Text Classification (SP)
|
100% |
224
298.4 IPS |
|
|
Text Classification (HP)
|
100% |
224
299.0 IPS |
|
|
Text Classification (Q)
|
91% |
387
520.4 IPS |
|
|
Machine Translation (SP)
|
100% |
351
6.04 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (Q)
|
57% |
319
7.79 IPS |
