samsung SM-X710
Geekbench AI Score
2234
Single Precision Score
2222
Half Precision Score
3532
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | angelpradomx |
| Upload Date | September 07 2024 04:18 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X710 |
| Model ID | samsung SM-X710 |
| 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% |
1799
334.5 IPS |
|
|
Image Classification (HP)
|
100% |
1839
342.0 IPS |
|
|
Image Classification (Q)
|
100% |
2901
539.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2047
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3080
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3217
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3296
3.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
6475
7.68 IPS |
|
|
Object Detection (SP)
|
98% |
1496
119.1 IPS |
|
|
Object Detection (HP)
|
98% |
1516
120.6 IPS |
|
|
Object Detection (Q)
|
83% |
2074
167.6 IPS |
|
|
Face Detection (SP)
|
100% |
2873
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
3178
37.8 IPS |
|
|
Face Detection (Q)
|
95% |
6525
77.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3548
27.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3448
26.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5793
53.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7988
10.4 IPS |
|
|
Style Transfer (HP)
|
89% |
6881
8.93 IPS |
|
|
Style Transfer (Q)
|
98% |
16023
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1816
67.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1771
65.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3962
146.8 IPS |
|
|
Text Classification (SP)
|
100% |
735
981.7 IPS |
|
|
Text Classification (HP)
|
99% |
738
985.2 IPS |
|
|
Text Classification (Q)
|
88% |
1329
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1610
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1567
27.0 IPS |
|
|
Machine Translation (Q)
|
50% |
791
28.1 IPS |
