samsung SM-X826B
Geekbench AI Score
1086
Single Precision Score
1282
Half Precision Score
1282
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | gtimchenko |
| Upload Date | June 02 2025 11:33 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
669
124.5 IPS |
|
|
Image Classification (HP)
|
100% |
699
130.0 IPS |
|
|
Image Classification (Q)
|
99% |
645
120.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1511
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1730
28.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1811
29.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
791
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1194
1.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
1194
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
599
47.5 IPS |
|
|
Object Detection (HP)
|
100% |
732
58.0 IPS |
|
|
Object Detection (Q)
|
83% |
907
73.4 IPS |
|
|
Face Detection (SP)
|
100% |
2609
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
2517
29.9 IPS |
|
|
Face Detection (Q)
|
97% |
2416
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1613
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2349
18.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
1725
16.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4233
5.44 IPS |
|
|
Style Transfer (HP)
|
100% |
5497
7.07 IPS |
|
|
Style Transfer (Q)
|
98% |
5448
7.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
877
32.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1121
41.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1093
40.5 IPS |
|
|
Text Classification (SP)
|
100% |
461
615.2 IPS |
|
|
Text Classification (HP)
|
100% |
461
615.8 IPS |
|
|
Text Classification (Q)
|
91% |
752
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
676
11.6 IPS |
|
|
Machine Translation (Q)
|
57% |
509
12.4 IPS |
