samsung SM-X926B
Geekbench AI Score
1204
Single Precision Score
5144
Half Precision Score
4937
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 02:02 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X926B |
| Model ID | samsung SM-X926B |
| Motherboard | gts10u |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1219
226.7 IPS |
|
|
Image Classification (HP)
|
100% |
4442
826.1 IPS |
|
|
Image Classification (Q)
|
99% |
9194
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
676
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4135
67.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1857
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8894
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18579
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
75411
88.4 IPS |
|
|
Object Detection (SP)
|
100% |
727
57.6 IPS |
|
|
Object Detection (HP)
|
100% |
4668
370.3 IPS |
|
|
Object Detection (Q)
|
86% |
5773
464.4 IPS |
|
|
Face Detection (SP)
|
100% |
3300
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
12098
143.8 IPS |
|
|
Face Detection (Q)
|
97% |
11681
139.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
971
7.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
19569
150.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
32764
311.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2606
3.35 IPS |
|
|
Style Transfer (HP)
|
100% |
701
0.90 IPS |
|
|
Style Transfer (Q)
|
30% |
412
6.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2966
109.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10942
404.0 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8246
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
129
171.7 IPS |
|
|
Text Classification (HP)
|
97% |
2174
2.91 KIPS |
|
|
Text Classification (Q)
|
73% |
2095
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
378
6.50 IPS |
|
|
Machine Translation (HP)
|
100% |
2063
35.5 IPS |
|
|
Machine Translation (Q)
|
60% |
425
9.57 IPS |
