samsung SM-X828U
Geekbench AI Score
2213
Single Precision Score
2195
Half Precision Score
3165
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Jackbatz |
| Upload Date | November 18 2024 01:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X828U |
| Model ID | samsung SM-X828U |
| Motherboard | gts10p |
| 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 | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1678
312.1 IPS |
|
|
Image Classification (HP)
|
100% |
1830
340.4 IPS |
|
|
Image Classification (Q)
|
100% |
2652
493.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2125
34.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2820
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3236
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3164
3.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
6433
7.63 IPS |
|
|
Object Detection (SP)
|
98% |
1520
121.0 IPS |
|
|
Object Detection (HP)
|
98% |
1507
119.9 IPS |
|
|
Object Detection (Q)
|
83% |
2299
185.7 IPS |
|
|
Face Detection (SP)
|
100% |
3252
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (Q)
|
95% |
4655
55.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3235
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3382
26.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4988
45.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7524
9.77 IPS |
|
|
Style Transfer (HP)
|
89% |
7451
9.67 IPS |
|
|
Style Transfer (Q)
|
98% |
13872
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1690
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1602
59.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3274
121.3 IPS |
|
|
Text Classification (SP)
|
100% |
717
957.5 IPS |
|
|
Text Classification (HP)
|
99% |
726
968.9 IPS |
|
|
Text Classification (Q)
|
88% |
1152
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1681
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1602
27.6 IPS |
|
|
Machine Translation (Q)
|
50% |
752
26.7 IPS |
