samsung SM-X926B
Geekbench AI Score
2349
Single Precision Score
2372
Half Precision Score
3431
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 29 2024 10:04 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X926B |
| Model ID | samsung SM-X926B |
| Motherboard | gts10u |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1712
318.3 IPS |
|
|
Image Classification (HP)
|
100% |
1828
340.0 IPS |
|
|
Image Classification (Q)
|
100% |
2626
488.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2803
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3267
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
3260
3.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
6492
7.70 IPS |
|
|
Object Detection (SP)
|
98% |
1680
133.7 IPS |
|
|
Object Detection (HP)
|
98% |
1717
136.6 IPS |
|
|
Object Detection (Q)
|
83% |
2393
193.3 IPS |
|
|
Face Detection (SP)
|
100% |
3358
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
3430
40.8 IPS |
|
|
Face Detection (Q)
|
95% |
5628
67.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3790
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3746
28.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5634
51.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7621
9.89 IPS |
|
|
Style Transfer (HP)
|
89% |
7631
9.91 IPS |
|
|
Style Transfer (Q)
|
98% |
14205
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1772
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1768
65.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3625
134.3 IPS |
|
|
Text Classification (SP)
|
100% |
808
1.08 KIPS |
|
|
Text Classification (HP)
|
99% |
840
1.12 KIPS |
|
|
Text Classification (Q)
|
88% |
1461
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1877
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1812
31.2 IPS |
|
|
Machine Translation (Q)
|
50% |
830
29.5 IPS |
