samsung SM-X920
Geekbench AI Score
2517
Single Precision Score
2491
Half Precision Score
3576
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 05 2025 08:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 15.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1746
324.6 IPS |
|
|
Image Classification (HP)
|
100% |
1759
327.1 IPS |
|
|
Image Classification (Q)
|
100% |
2650
492.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2165
35.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2844
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3523
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
3489
4.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
6896
8.18 IPS |
|
|
Object Detection (SP)
|
98% |
1863
148.3 IPS |
|
|
Object Detection (HP)
|
98% |
1791
142.5 IPS |
|
|
Object Detection (Q)
|
83% |
2540
205.2 IPS |
|
|
Face Detection (SP)
|
100% |
3653
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
3645
43.3 IPS |
|
|
Face Detection (Q)
|
95% |
5724
68.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3971
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3968
30.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5924
54.3 IPS |
|
|
Style Transfer (SP)
|
89% |
8318
10.8 IPS |
|
|
Style Transfer (HP)
|
89% |
8260
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15067
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1948
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1920
70.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3865
143.2 IPS |
|
|
Text Classification (SP)
|
100% |
855
1.14 KIPS |
|
|
Text Classification (HP)
|
99% |
852
1.14 KIPS |
|
|
Text Classification (Q)
|
88% |
1467
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2055
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1979
34.1 IPS |
|
|
Machine Translation (Q)
|
50% |
896
31.8 IPS |
