samsung SM-X820
Geekbench AI Score
1113
Single Precision Score
1337
Half Precision Score
1322
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mersa |
| Upload Date | January 28 2025 05:48 PM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X820 |
| Model ID | samsung SM-X820 |
| Motherboard | gts10pwifi |
| 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 | 11.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
683
127.0 IPS |
|
|
Image Classification (HP)
|
100% |
726
134.9 IPS |
|
|
Image Classification (Q)
|
99% |
652
121.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1509
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1827
29.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1689
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
792
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1209
1.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
1197
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
664
52.7 IPS |
|
|
Object Detection (HP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (Q)
|
83% |
904
73.1 IPS |
|
|
Face Detection (SP)
|
100% |
2926
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
3473
41.3 IPS |
|
|
Face Detection (Q)
|
97% |
3196
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1652
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2211
17.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
1786
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4239
5.45 IPS |
|
|
Style Transfer (HP)
|
100% |
5519
7.09 IPS |
|
|
Style Transfer (Q)
|
98% |
5527
7.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
813
30.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1149
42.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1093
40.5 IPS |
|
|
Text Classification (SP)
|
100% |
473
631.6 IPS |
|
|
Text Classification (HP)
|
100% |
469
625.7 IPS |
|
|
Text Classification (Q)
|
91% |
768
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (Q)
|
57% |
520
12.7 IPS |
