samsung SM-X826B
Geekbench AI Score
2057
Single Precision Score
2050
Half Precision Score
2957
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | gtimchenko |
| Upload Date | June 02 2025 11:23 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1815
337.5 IPS |
|
|
Image Classification (HP)
|
100% |
1809
336.5 IPS |
|
|
Image Classification (Q)
|
100% |
2633
489.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2078
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2785
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3215
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2705
3.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
5455
6.47 IPS |
|
|
Object Detection (SP)
|
98% |
1276
101.5 IPS |
|
|
Object Detection (HP)
|
98% |
1378
109.7 IPS |
|
|
Object Detection (Q)
|
83% |
1957
158.0 IPS |
|
|
Face Detection (SP)
|
100% |
2892
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
2905
34.5 IPS |
|
|
Face Detection (Q)
|
95% |
4647
55.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3183
24.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3170
24.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4601
42.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6351
8.24 IPS |
|
|
Style Transfer (HP)
|
89% |
6350
8.24 IPS |
|
|
Style Transfer (Q)
|
98% |
11848
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1461
53.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1444
53.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3005
111.3 IPS |
|
|
Text Classification (SP)
|
100% |
649
866.8 IPS |
|
|
Text Classification (HP)
|
99% |
651
868.7 IPS |
|
|
Text Classification (Q)
|
88% |
1165
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1588
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1701
29.3 IPS |
|
|
Machine Translation (Q)
|
50% |
738
26.2 IPS |
