samsung SM-X920
Geekbench AI Score
1126
Single Precision Score
1329
Half Precision Score
1325
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 05 2025 08:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
673
125.1 IPS |
|
|
Image Classification (HP)
|
100% |
716
133.2 IPS |
|
|
Image Classification (Q)
|
99% |
667
124.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1766
28.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1732
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
795
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1218
1.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
1202
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
673
53.4 IPS |
|
|
Object Detection (HP)
|
100% |
736
58.4 IPS |
|
|
Object Detection (Q)
|
83% |
923
74.7 IPS |
|
|
Face Detection (SP)
|
100% |
3060
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3048
36.2 IPS |
|
|
Face Detection (Q)
|
97% |
2813
33.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1630
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2226
17.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
1760
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4277
5.50 IPS |
|
|
Style Transfer (HP)
|
100% |
5566
7.16 IPS |
|
|
Style Transfer (Q)
|
98% |
5557
7.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
816
30.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1140
42.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1107
41.0 IPS |
|
|
Text Classification (SP)
|
100% |
495
661.4 IPS |
|
|
Text Classification (HP)
|
100% |
494
658.9 IPS |
|
|
Text Classification (Q)
|
91% |
788
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (Q)
|
57% |
545
13.3 IPS |
