samsung SM-X920
Geekbench AI Score
2096
Single Precision Score
2083
Half Precision Score
3034
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Atelloblue |
| Upload Date | May 17 2025 10:07 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-X920 |
| Model ID | samsung SM-X920 |
| Motherboard | gts10uwifi |
| 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% |
1728
321.4 IPS |
|
|
Image Classification (HP)
|
100% |
1784
331.7 IPS |
|
|
Image Classification (Q)
|
100% |
2648
492.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2055
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2803
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3186
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2733
3.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
5782
6.86 IPS |
|
|
Object Detection (SP)
|
98% |
1368
108.8 IPS |
|
|
Object Detection (HP)
|
98% |
1449
115.3 IPS |
|
|
Object Detection (Q)
|
83% |
2144
173.2 IPS |
|
|
Face Detection (SP)
|
100% |
2987
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
2990
35.5 IPS |
|
|
Face Detection (Q)
|
95% |
4625
55.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3304
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3297
25.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5081
46.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6310
8.19 IPS |
|
|
Style Transfer (HP)
|
89% |
6329
8.22 IPS |
|
|
Style Transfer (Q)
|
98% |
11839
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1399
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1394
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3129
115.9 IPS |
|
|
Text Classification (SP)
|
100% |
686
916.3 IPS |
|
|
Text Classification (HP)
|
99% |
676
902.8 IPS |
|
|
Text Classification (Q)
|
88% |
1210
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1773
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1774
30.5 IPS |
|
|
Machine Translation (Q)
|
50% |
683
24.2 IPS |
