samsung SM-X820
Geekbench AI Score
2163
Single Precision Score
2140
Half Precision Score
3069
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 07 2025 08:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1706
317.3 IPS |
|
|
Image Classification (HP)
|
100% |
1842
342.6 IPS |
|
|
Image Classification (Q)
|
100% |
2647
492.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2830
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3189
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3108
3.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
6262
7.43 IPS |
|
|
Object Detection (SP)
|
98% |
1625
129.3 IPS |
|
|
Object Detection (HP)
|
98% |
1287
102.4 IPS |
|
|
Object Detection (Q)
|
83% |
1966
158.8 IPS |
|
|
Face Detection (SP)
|
100% |
2981
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
2972
35.3 IPS |
|
|
Face Detection (Q)
|
95% |
4483
53.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3035
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3440
26.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5198
47.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7201
9.35 IPS |
|
|
Style Transfer (HP)
|
89% |
7302
9.48 IPS |
|
|
Style Transfer (Q)
|
98% |
12853
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1575
58.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1574
58.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2995
111.0 IPS |
|
|
Text Classification (SP)
|
100% |
661
881.7 IPS |
|
|
Text Classification (HP)
|
99% |
664
886.1 IPS |
|
|
Text Classification (Q)
|
88% |
1160
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1745
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1678
28.9 IPS |
|
|
Machine Translation (Q)
|
50% |
774
27.5 IPS |
