samsung SM-X926B
Geekbench AI Score
1216
Single Precision Score
5167
Half Precision Score
4966
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Jerminalz |
| Upload Date | September 28 2024 06:42 AM |
| Views | 14 |
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 @ 3.25 GHz |
| Memory Information | |
|---|---|
| Size | 10.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1204
224.0 IPS |
|
|
Image Classification (HP)
|
100% |
4457
828.9 IPS |
|
|
Image Classification (Q)
|
99% |
9269
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
676
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4201
68.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1856
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8846
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18346
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
75168
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
730
57.9 IPS |
|
|
Object Detection (HP)
|
100% |
4668
370.3 IPS |
|
|
Object Detection (Q)
|
86% |
5788
465.6 IPS |
|
|
Face Detection (SP)
|
100% |
3434
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
12066
143.4 IPS |
|
|
Face Detection (Q)
|
97% |
11664
139.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
968
7.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
19447
149.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
32774
311.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2600
3.34 IPS |
|
|
Style Transfer (HP)
|
100% |
685
0.88 IPS |
|
|
Style Transfer (Q)
|
30% |
407
6.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3040
112.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11326
418.2 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8621
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
133
177.3 IPS |
|
|
Text Classification (HP)
|
97% |
2187
2.93 KIPS |
|
|
Text Classification (Q)
|
73% |
2124
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
385
6.63 IPS |
|
|
Machine Translation (HP)
|
100% |
2125
36.6 IPS |
|
|
Machine Translation (Q)
|
60% |
428
9.65 IPS |
