samsung SM-X920
Geekbench AI Score
2473
Single Precision Score
2480
Half Precision Score
3547
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 05 2025 08:35 PM |
| Views | 5 |
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
324.7 IPS |
|
|
Image Classification (HP)
|
100% |
1811
336.9 IPS |
|
|
Image Classification (Q)
|
100% |
2661
494.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2156
34.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2832
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3408
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
3384
3.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
6897
8.18 IPS |
|
|
Object Detection (SP)
|
98% |
1699
135.2 IPS |
|
|
Object Detection (HP)
|
98% |
1812
144.2 IPS |
|
|
Object Detection (Q)
|
83% |
2398
193.7 IPS |
|
|
Face Detection (SP)
|
100% |
3641
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
3613
42.9 IPS |
|
|
Face Detection (Q)
|
95% |
5699
68.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3923
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3957
30.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5908
54.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8128
10.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8108
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
14967
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1920
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1906
70.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3847
142.5 IPS |
|
|
Text Classification (SP)
|
100% |
854
1.14 KIPS |
|
|
Text Classification (HP)
|
99% |
844
1.13 KIPS |
|
|
Text Classification (Q)
|
88% |
1473
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2075
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1974
34.0 IPS |
|
|
Machine Translation (Q)
|
50% |
888
31.5 IPS |
