samsung SM-X920
Geekbench AI Score
1220
Single Precision Score
5140
Half Precision Score
4858
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 25 2025 04:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1220
226.9 IPS |
|
|
Image Classification (HP)
|
100% |
4405
819.2 IPS |
|
|
Image Classification (Q)
|
99% |
9125
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
678
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4268
69.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1859
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8988
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18376
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
75216
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
731
57.9 IPS |
|
|
Object Detection (HP)
|
100% |
4732
375.3 IPS |
|
|
Object Detection (Q)
|
86% |
5781
465.0 IPS |
|
|
Face Detection (SP)
|
100% |
3474
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
11981
142.4 IPS |
|
|
Face Detection (Q)
|
97% |
11488
137.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
989
7.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
19421
149.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
33278
316.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2618
3.37 IPS |
|
|
Style Transfer (HP)
|
100% |
693
0.89 IPS |
|
|
Style Transfer (Q)
|
30% |
405
6.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2999
110.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10899
402.4 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7316
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
132
176.2 IPS |
|
|
Text Classification (HP)
|
97% |
2133
2.86 KIPS |
|
|
Text Classification (Q)
|
73% |
2063
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
380
6.54 IPS |
|
|
Machine Translation (HP)
|
100% |
2101
36.2 IPS |
|
|
Machine Translation (Q)
|
60% |
425
9.57 IPS |
