samsung SM-X920
Geekbench AI Score
2128
Single Precision Score
2139
Half Precision Score
3052
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Billfumo |
| Upload Date | September 08 2025 09:03 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 15.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1699
315.9 IPS |
|
|
Image Classification (HP)
|
100% |
1770
329.2 IPS |
|
|
Image Classification (Q)
|
100% |
2620
487.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2052
33.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2810
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2996
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2755
3.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
5631
6.68 IPS |
|
|
Object Detection (SP)
|
98% |
1375
109.5 IPS |
|
|
Object Detection (HP)
|
98% |
1517
120.7 IPS |
|
|
Object Detection (Q)
|
83% |
2008
162.2 IPS |
|
|
Face Detection (SP)
|
100% |
3146
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
3151
37.4 IPS |
|
|
Face Detection (Q)
|
95% |
4801
57.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3208
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3262
25.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4947
45.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6697
8.69 IPS |
|
|
Style Transfer (HP)
|
89% |
6486
8.42 IPS |
|
|
Style Transfer (Q)
|
98% |
11852
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1550
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1580
58.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3260
120.8 IPS |
|
|
Text Classification (SP)
|
100% |
712
950.0 IPS |
|
|
Text Classification (HP)
|
99% |
709
947.0 IPS |
|
|
Text Classification (Q)
|
88% |
1213
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1748
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1775
30.6 IPS |
|
|
Machine Translation (Q)
|
50% |
758
26.9 IPS |
