samsung SM-X920
Geekbench AI Score
2327
Single Precision Score
2268
Half Precision Score
3323
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 09 2025 07:44 AM |
| Views | 4 |
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% |
1826
339.5 IPS |
|
|
Image Classification (HP)
|
100% |
1668
310.2 IPS |
|
|
Image Classification (Q)
|
100% |
2604
484.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2803
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3166
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
3080
3.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
6253
7.42 IPS |
|
|
Object Detection (SP)
|
98% |
1556
123.8 IPS |
|
|
Object Detection (HP)
|
98% |
1497
119.1 IPS |
|
|
Object Detection (Q)
|
83% |
2218
179.2 IPS |
|
|
Face Detection (SP)
|
100% |
3391
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
3410
40.5 IPS |
|
|
Face Detection (Q)
|
95% |
5341
63.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3635
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3530
27.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5461
50.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7590
9.85 IPS |
|
|
Style Transfer (HP)
|
89% |
7594
9.86 IPS |
|
|
Style Transfer (Q)
|
98% |
14011
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1746
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1717
63.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3516
130.3 IPS |
|
|
Text Classification (SP)
|
100% |
797
1.06 KIPS |
|
|
Text Classification (HP)
|
99% |
792
1.06 KIPS |
|
|
Text Classification (Q)
|
88% |
1398
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1889
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1791
30.8 IPS |
|
|
Machine Translation (Q)
|
50% |
809
28.7 IPS |
