samsung SM-X820
Geekbench AI Score
1043
Single Precision Score
1276
Half Precision Score
1266
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 11:51 AM |
| Views | 2 |
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% |
647
120.3 IPS |
|
|
Image Classification (HP)
|
100% |
717
133.4 IPS |
|
|
Image Classification (Q)
|
99% |
654
121.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1409
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1499
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
789
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1204
1.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
1183
1.39 IPS |
|
|
Object Detection (SP)
|
100% |
651
51.6 IPS |
|
|
Object Detection (HP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (Q)
|
83% |
925
74.8 IPS |
|
|
Face Detection (SP)
|
100% |
2868
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
2615
31.1 IPS |
|
|
Face Detection (Q)
|
97% |
2352
28.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1634
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2140
16.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
1760
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4241
5.45 IPS |
|
|
Style Transfer (HP)
|
100% |
5516
7.09 IPS |
|
|
Style Transfer (Q)
|
98% |
5514
7.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
804
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1132
41.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1111
41.2 IPS |
|
|
Text Classification (SP)
|
100% |
305
407.6 IPS |
|
|
Text Classification (HP)
|
100% |
466
621.7 IPS |
|
|
Text Classification (Q)
|
91% |
757
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
57% |
517
12.6 IPS |
