samsung SM-X826B
Geekbench AI Score
2075
Single Precision Score
2052
Half Precision Score
2905
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 06:06 AM |
| Views | 1 |
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% |
1836
341.5 IPS |
|
|
Image Classification (HP)
|
100% |
1785
332.0 IPS |
|
|
Image Classification (Q)
|
100% |
2633
489.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2812
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3181
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3052
3.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
5009
5.94 IPS |
|
|
Object Detection (SP)
|
98% |
1262
100.4 IPS |
|
|
Object Detection (HP)
|
98% |
1180
93.9 IPS |
|
|
Object Detection (Q)
|
83% |
1805
145.8 IPS |
|
|
Face Detection (SP)
|
100% |
2927
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
2988
35.5 IPS |
|
|
Face Detection (Q)
|
95% |
4477
53.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3042
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3056
23.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4602
42.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6560
8.52 IPS |
|
|
Style Transfer (HP)
|
89% |
6822
8.86 IPS |
|
|
Style Transfer (Q)
|
98% |
12458
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1553
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1493
55.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3010
111.5 IPS |
|
|
Text Classification (SP)
|
100% |
624
833.2 IPS |
|
|
Text Classification (HP)
|
99% |
623
831.7 IPS |
|
|
Text Classification (Q)
|
88% |
1105
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1656
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1670
28.8 IPS |
|
|
Machine Translation (Q)
|
50% |
749
26.6 IPS |
