samsung SM-X920
Geekbench AI Score
1984
Single Precision Score
1970
Half Precision Score
2798
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Insomnia |
| Upload Date | July 03 2025 01:05 PM |
| Views | 10 |
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% |
1618
301.0 IPS |
|
|
Image Classification (HP)
|
100% |
1711
318.1 IPS |
|
|
Image Classification (Q)
|
100% |
2622
487.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2818
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3228
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2760
3.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
5393
6.40 IPS |
|
|
Object Detection (SP)
|
98% |
1266
100.7 IPS |
|
|
Object Detection (HP)
|
98% |
1196
95.1 IPS |
|
|
Object Detection (Q)
|
83% |
1704
137.6 IPS |
|
|
Face Detection (SP)
|
100% |
2706
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
2970
35.3 IPS |
|
|
Face Detection (Q)
|
95% |
4466
53.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3031
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2917
22.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4428
40.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6047
7.85 IPS |
|
|
Style Transfer (HP)
|
89% |
5947
7.72 IPS |
|
|
Style Transfer (Q)
|
98% |
10958
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1354
50.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1348
49.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2827
104.8 IPS |
|
|
Text Classification (SP)
|
100% |
633
845.5 IPS |
|
|
Text Classification (HP)
|
99% |
623
831.4 IPS |
|
|
Text Classification (Q)
|
88% |
1070
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1594
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1694
29.2 IPS |
|
|
Machine Translation (Q)
|
50% |
661
23.5 IPS |
