samsung SM-X920
Geekbench AI Score
2162
Single Precision Score
2147
Half Precision Score
3119
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 25 2025 04:25 PM |
| Views | 1 |
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 | 11.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1841
342.4 IPS |
|
|
Image Classification (HP)
|
100% |
1735
322.7 IPS |
|
|
Image Classification (Q)
|
100% |
2652
493.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2808
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3248
3.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
3128
3.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
6333
7.51 IPS |
|
|
Object Detection (SP)
|
98% |
1284
102.2 IPS |
|
|
Object Detection (HP)
|
98% |
1420
113.0 IPS |
|
|
Object Detection (Q)
|
83% |
1981
160.0 IPS |
|
|
Face Detection (SP)
|
100% |
2872
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
2898
34.4 IPS |
|
|
Face Detection (Q)
|
95% |
5042
60.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3454
26.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3483
26.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5268
48.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7134
9.26 IPS |
|
|
Style Transfer (HP)
|
89% |
6344
8.24 IPS |
|
|
Style Transfer (Q)
|
98% |
11886
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1432
52.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1534
56.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3269
121.1 IPS |
|
|
Text Classification (SP)
|
100% |
720
961.0 IPS |
|
|
Text Classification (HP)
|
99% |
722
964.3 IPS |
|
|
Text Classification (Q)
|
88% |
1311
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1891
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1814
31.3 IPS |
|
|
Machine Translation (Q)
|
50% |
690
24.5 IPS |
