samsung SM-X826B
Geekbench AI Score
1971
Single Precision Score
1913
Half Precision Score
2720
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 11 2025 06:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X826B |
| Model ID | samsung SM-X826B |
| Motherboard | gts10p |
| 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 | 10.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1774
329.9 IPS |
|
|
Image Classification (HP)
|
100% |
1695
315.3 IPS |
|
|
Image Classification (Q)
|
100% |
2573
478.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2055
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1930
31.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2785
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3081
3.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2690
3.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
4973
5.90 IPS |
|
|
Object Detection (SP)
|
98% |
1300
103.4 IPS |
|
|
Object Detection (HP)
|
98% |
1316
104.7 IPS |
|
|
Object Detection (Q)
|
83% |
1758
142.0 IPS |
|
|
Face Detection (SP)
|
100% |
2766
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
2775
33.0 IPS |
|
|
Face Detection (Q)
|
95% |
4223
50.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2869
22.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2900
22.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4341
39.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6115
7.94 IPS |
|
|
Style Transfer (HP)
|
89% |
5829
7.57 IPS |
|
|
Style Transfer (Q)
|
98% |
10826
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1311
48.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1320
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2703
100.2 IPS |
|
|
Text Classification (SP)
|
100% |
599
799.1 IPS |
|
|
Text Classification (HP)
|
99% |
594
792.3 IPS |
|
|
Text Classification (Q)
|
88% |
1020
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1596
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1548
26.7 IPS |
|
|
Machine Translation (Q)
|
50% |
647
23.0 IPS |
