samsung SM-X920
Geekbench AI Score
2376
Single Precision Score
2362
Half Precision Score
3388
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 05 2025 08:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1687
313.7 IPS |
|
|
Image Classification (HP)
|
100% |
1721
320.1 IPS |
|
|
Image Classification (Q)
|
100% |
2643
491.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2818
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3511
4.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
3363
3.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
6837
8.11 IPS |
|
|
Object Detection (SP)
|
98% |
1612
128.3 IPS |
|
|
Object Detection (HP)
|
98% |
1535
122.1 IPS |
|
|
Object Detection (Q)
|
83% |
2138
172.7 IPS |
|
|
Face Detection (SP)
|
100% |
3201
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
3171
37.7 IPS |
|
|
Face Detection (Q)
|
95% |
4819
57.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3341
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3401
26.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5020
46.0 IPS |
|
|
Style Transfer (SP)
|
89% |
8121
10.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8158
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
14979
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1881
69.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1917
70.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3850
142.7 IPS |
|
|
Text Classification (SP)
|
100% |
848
1.13 KIPS |
|
|
Text Classification (HP)
|
99% |
850
1.13 KIPS |
|
|
Text Classification (Q)
|
88% |
1493
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2027
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1973
34.0 IPS |
|
|
Machine Translation (Q)
|
50% |
881
31.3 IPS |
