samsung SM-X910
Geekbench AI Score
960
Single Precision Score
813
Half Precision Score
1757
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | SyderAkaris |
| Upload Date | October 08 2024 07:22 PM |
| Views | 5 |
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% |
985
183.1 IPS |
|
|
Image Classification (HP)
|
100% |
542
100.8 IPS |
|
|
Image Classification (Q)
|
100% |
1621
301.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
587
9.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
453
7.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
1732
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2071
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1758
2.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
3651
4.33 IPS |
|
|
Object Detection (SP)
|
98% |
375
29.9 IPS |
|
|
Object Detection (HP)
|
98% |
379
30.1 IPS |
|
|
Object Detection (Q)
|
83% |
1253
101.2 IPS |
|
|
Face Detection (SP)
|
100% |
1214
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
1194
14.2 IPS |
|
|
Face Detection (Q)
|
95% |
2765
33.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1442
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1090
8.43 IPS |
|
|
Depth Estimation (Q)
|
64% |
2893
26.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3532
4.58 IPS |
|
|
Style Transfer (HP)
|
89% |
2466
3.20 IPS |
|
|
Style Transfer (Q)
|
98% |
5852
7.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
672
24.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
676
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1539
57.0 IPS |
|
|
Text Classification (SP)
|
100% |
325
433.7 IPS |
|
|
Text Classification (HP)
|
99% |
458
611.3 IPS |
|
|
Text Classification (Q)
|
88% |
700
944.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1103
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (Q)
|
50% |
435
15.4 IPS |
