samsung SM-X920
Geekbench AI Score
2364
Single Precision Score
2366
Half Precision Score
3349
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 24 2025 07:57 PM |
| Views | 1 |
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 | 11.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1721
320.0 IPS |
|
|
Image Classification (HP)
|
100% |
1792
333.3 IPS |
|
|
Image Classification (Q)
|
100% |
2625
488.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2821
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3389
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
3289
3.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
5551
6.58 IPS |
|
|
Object Detection (SP)
|
98% |
1507
119.9 IPS |
|
|
Object Detection (HP)
|
98% |
1564
124.5 IPS |
|
|
Object Detection (Q)
|
83% |
2035
164.4 IPS |
|
|
Face Detection (SP)
|
100% |
3557
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
3582
42.6 IPS |
|
|
Face Detection (Q)
|
95% |
5734
68.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3932
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3920
30.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5919
54.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7929
10.3 IPS |
|
|
Style Transfer (HP)
|
89% |
7931
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
13514
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1694
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1711
63.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3532
130.9 IPS |
|
|
Text Classification (SP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
776
1.04 KIPS |
|
|
Text Classification (Q)
|
88% |
1460
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2009
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1897
32.7 IPS |
|
|
Machine Translation (Q)
|
50% |
898
31.9 IPS |
