samsung SM-X910
Geekbench AI Score
1149
Single Precision Score
1149
Half Precision Score
1646
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | dgbrownnt |
| Upload Date | February 04 2025 07:53 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X910 |
| Model ID | samsung SM-X910 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 14.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1345
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
1385
257.5 IPS |
|
|
Image Classification (Q)
|
100% |
2206
410.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1233
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1886
2.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2056
2.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
3632
4.31 IPS |
|
|
Object Detection (SP)
|
98% |
781
62.2 IPS |
|
|
Object Detection (HP)
|
98% |
737
58.7 IPS |
|
|
Object Detection (Q)
|
83% |
1081
87.3 IPS |
|
|
Face Detection (SP)
|
100% |
1325
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
1273
15.1 IPS |
|
|
Face Detection (Q)
|
95% |
2212
26.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1758
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1786
13.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2677
24.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3701
4.80 IPS |
|
|
Style Transfer (HP)
|
89% |
2558
3.32 IPS |
|
|
Style Transfer (Q)
|
98% |
5838
7.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
867
32.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
988
36.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1933
71.6 IPS |
|
|
Text Classification (SP)
|
100% |
410
547.3 IPS |
|
|
Text Classification (HP)
|
99% |
350
467.1 IPS |
|
|
Text Classification (Q)
|
88% |
448
604.2 IPS |
|
|
Machine Translation (SP)
|
100% |
810
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (Q)
|
50% |
458
16.3 IPS |
