samsung SM-X910
Geekbench AI Score
933
Single Precision Score
1361
Half Precision Score
1171
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Longfellow55 |
| Upload Date | October 20 2024 01:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 10.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
406
75.5 IPS |
|
|
Image Classification (HP)
|
100% |
925
172.1 IPS |
|
|
Image Classification (Q)
|
96% |
809
151.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2045
33.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1056
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1005
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1440
1.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
1432
1.68 IPS |
|
|
Object Detection (SP)
|
100% |
497
39.5 IPS |
|
|
Object Detection (HP)
|
100% |
786
62.3 IPS |
|
|
Object Detection (Q)
|
87% |
793
63.7 IPS |
|
|
Face Detection (SP)
|
100% |
2242
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
3463
41.2 IPS |
|
|
Face Detection (Q)
|
97% |
1684
20.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1508
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2899
22.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2394
22.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3869
4.97 IPS |
|
|
Style Transfer (HP)
|
100% |
8734
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8648
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
447
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
364
13.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
368
13.6 IPS |
|
|
Text Classification (SP)
|
100% |
466
621.4 IPS |
|
|
Text Classification (HP)
|
100% |
466
621.8 IPS |
|
|
Text Classification (Q)
|
91% |
725
974.0 IPS |
|
|
Machine Translation (SP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
688
11.9 IPS |
|
|
Machine Translation (Q)
|
57% |
539
13.2 IPS |
