samsung SM-X910
Geekbench AI Score
486
Single Precision Score
488
Half Precision Score
1070
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | SyderAkaris |
| Upload Date | October 09 2024 12:07 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
312
58.0 IPS |
|
|
Image Classification (HP)
|
100% |
303
56.4 IPS |
|
|
Image Classification (Q)
|
99% |
757
141.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
381
6.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
391
6.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
767
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
521
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
511
0.60 IPS |
|
|
Pose Estimation (Q)
|
98% |
2004
2.35 IPS |
|
|
Object Detection (SP)
|
100% |
284
22.5 IPS |
|
|
Object Detection (HP)
|
100% |
289
23.0 IPS |
|
|
Object Detection (Q)
|
87% |
784
62.9 IPS |
|
|
Face Detection (SP)
|
100% |
718
8.53 IPS |
|
|
Face Detection (HP)
|
100% |
732
8.70 IPS |
|
|
Face Detection (Q)
|
97% |
1551
18.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
622
4.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
626
4.83 IPS |
|
|
Depth Estimation (Q)
|
64% |
1412
12.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1023
1.31 IPS |
|
|
Style Transfer (HP)
|
100% |
1019
1.31 IPS |
|
|
Style Transfer (Q)
|
98% |
2497
3.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
319
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
322
11.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1113
41.3 IPS |
|
|
Text Classification (SP)
|
100% |
436
582.2 IPS |
|
|
Text Classification (HP)
|
100% |
436
582.6 IPS |
|
|
Text Classification (Q)
|
91% |
683
917.5 IPS |
|
|
Machine Translation (SP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (Q)
|
57% |
522
12.8 IPS |
