samsung SM-X920
Geekbench AI Score
2198
Single Precision Score
2233
Half Precision Score
3226
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Subarctic9720 |
| Upload Date | October 03 2024 04:37 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% |
1733
322.2 IPS |
|
|
Image Classification (HP)
|
100% |
1776
330.3 IPS |
|
|
Image Classification (Q)
|
100% |
2646
492.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2810
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3200
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3165
3.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
5532
6.56 IPS |
|
|
Object Detection (SP)
|
98% |
1375
109.4 IPS |
|
|
Object Detection (HP)
|
98% |
1569
124.8 IPS |
|
|
Object Detection (Q)
|
83% |
2226
179.8 IPS |
|
|
Face Detection (SP)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
3524
41.9 IPS |
|
|
Face Detection (Q)
|
95% |
5703
68.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3783
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3724
28.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5647
51.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7621
9.89 IPS |
|
|
Style Transfer (HP)
|
89% |
7534
9.78 IPS |
|
|
Style Transfer (Q)
|
98% |
14033
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1438
53.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1440
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3014
111.7 IPS |
|
|
Text Classification (SP)
|
100% |
660
880.6 IPS |
|
|
Text Classification (HP)
|
99% |
651
869.5 IPS |
|
|
Text Classification (Q)
|
88% |
1163
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1871
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1795
30.9 IPS |
|
|
Machine Translation (Q)
|
50% |
842
29.9 IPS |
