samsung SM-X920
Geekbench AI Score
1215
Single Precision Score
5144
Half Precision Score
4910
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Atelloblue |
| Upload Date | May 17 2025 10:18 AM |
| Views | 9 |
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% |
1167
217.1 IPS |
|
|
Image Classification (HP)
|
100% |
4463
829.9 IPS |
|
|
Image Classification (Q)
|
99% |
9024
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
686
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4333
70.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1856
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9177
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18364
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
75016
87.9 IPS |
|
|
Object Detection (SP)
|
100% |
724
57.4 IPS |
|
|
Object Detection (HP)
|
100% |
4655
369.2 IPS |
|
|
Object Detection (Q)
|
86% |
5659
455.2 IPS |
|
|
Face Detection (SP)
|
100% |
3385
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
11957
142.1 IPS |
|
|
Face Detection (Q)
|
97% |
11659
139.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
991
7.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
19210
148.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
33091
314.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2601
3.34 IPS |
|
|
Style Transfer (HP)
|
100% |
696
0.89 IPS |
|
|
Style Transfer (Q)
|
30% |
410
6.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3019
111.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10888
402.0 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8191
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
131
174.9 IPS |
|
|
Text Classification (HP)
|
97% |
2154
2.88 KIPS |
|
|
Text Classification (Q)
|
73% |
2084
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (HP)
|
100% |
2094
36.1 IPS |
|
|
Machine Translation (Q)
|
60% |
425
9.58 IPS |
