samsung SM-X820
Geekbench AI Score
1287
Single Precision Score
5553
Half Precision Score
5407
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | February 27 2025 09:02 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
1220
226.9 IPS |
|
|
Image Classification (HP)
|
100% |
4484
833.8 IPS |
|
|
Image Classification (Q)
|
99% |
9313
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4327
70.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1858
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9254
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18392
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
75211
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (HP)
|
100% |
4716
374.1 IPS |
|
|
Object Detection (Q)
|
86% |
5787
465.5 IPS |
|
|
Face Detection (SP)
|
100% |
3538
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
12058
143.3 IPS |
|
|
Face Detection (Q)
|
97% |
11485
137.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1022
7.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
19901
153.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
34923
331.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3356
4.31 IPS |
|
|
Style Transfer (HP)
|
100% |
912
1.17 IPS |
|
|
Style Transfer (Q)
|
30% |
605
9.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2614
96.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11354
419.2 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8677
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
138
183.6 IPS |
|
|
Text Classification (HP)
|
97% |
2453
3.28 KIPS |
|
|
Text Classification (Q)
|
73% |
2340
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
507
8.73 IPS |
|
|
Machine Translation (HP)
|
100% |
2718
46.8 IPS |
|
|
Machine Translation (Q)
|
60% |
576
13.0 IPS |
