samsung SM-X820
Geekbench AI Score
2129
Single Precision Score
2114
Half Precision Score
2993
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | February 27 2025 08:37 PM |
| Views | 4 |
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% |
1790
332.8 IPS |
|
|
Image Classification (HP)
|
100% |
1757
326.8 IPS |
|
|
Image Classification (Q)
|
100% |
2606
484.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2812
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3192
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3187
3.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
6482
7.69 IPS |
|
|
Object Detection (SP)
|
98% |
1712
136.2 IPS |
|
|
Object Detection (HP)
|
98% |
1376
109.5 IPS |
|
|
Object Detection (Q)
|
83% |
1849
149.3 IPS |
|
|
Face Detection (SP)
|
100% |
2906
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
2987
35.5 IPS |
|
|
Face Detection (Q)
|
95% |
4435
52.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3010
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3172
24.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4755
43.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6660
8.65 IPS |
|
|
Style Transfer (HP)
|
89% |
6648
8.63 IPS |
|
|
Style Transfer (Q)
|
98% |
12053
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1469
54.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1471
54.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2997
111.1 IPS |
|
|
Text Classification (SP)
|
100% |
643
857.7 IPS |
|
|
Text Classification (HP)
|
99% |
655
873.9 IPS |
|
|
Text Classification (Q)
|
88% |
1144
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1692
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1816
31.3 IPS |
|
|
Machine Translation (Q)
|
50% |
755
26.8 IPS |
