samsung SM-X920
Geekbench AI Score
2286
Single Precision Score
2261
Half Precision Score
3309
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 06:56 PM |
| Views | 2 |
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% |
1802
335.2 IPS |
|
|
Image Classification (Q)
|
100% |
2645
491.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2840
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3329
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
3209
3.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
6660
7.90 IPS |
|
|
Object Detection (SP)
|
98% |
1388
110.4 IPS |
|
|
Object Detection (HP)
|
98% |
1395
111.0 IPS |
|
|
Object Detection (Q)
|
83% |
2016
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
3114
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
3107
36.9 IPS |
|
|
Face Detection (Q)
|
95% |
5723
68.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3938
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3872
29.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5827
53.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7752
10.1 IPS |
|
|
Style Transfer (HP)
|
89% |
7642
9.92 IPS |
|
|
Style Transfer (Q)
|
98% |
13683
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1619
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1509
55.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2990
110.8 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
772
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
1341
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1928
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1909
32.9 IPS |
|
|
Machine Translation (Q)
|
50% |
855
30.4 IPS |
