samsung SCG09
Geekbench AI Score
653
Single Precision Score
654
Half Precision Score
1258
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Masatako123 |
| Upload Date | December 01 2024 01:17 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM SM8350 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SCG09 |
| Model ID | samsung SCG09 |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM8350 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
417
77.5 IPS |
|
|
Image Classification (HP)
|
100% |
455
84.6 IPS |
|
|
Image Classification (Q)
|
100% |
1357
252.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
538
8.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
535
8.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
1612
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1963
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1895
2.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
2915
3.46 IPS |
|
|
Object Detection (SP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (HP)
|
100% |
423
33.5 IPS |
|
|
Object Detection (Q)
|
83% |
1199
96.8 IPS |
|
|
Face Detection (SP)
|
100% |
1388
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
1331
15.8 IPS |
|
|
Face Detection (Q)
|
95% |
3035
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1764
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1819
14.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2784
25.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3277
4.25 IPS |
|
|
Style Transfer (HP)
|
89% |
3325
4.32 IPS |
|
|
Style Transfer (Q)
|
98% |
6225
8.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
268
9.91 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
267
9.85 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
630
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
156
208.4 IPS |
|
|
Text Classification (HP)
|
100% |
152
203.5 IPS |
|
|
Text Classification (Q)
|
88% |
263
354.6 IPS |
|
|
Machine Translation (SP)
|
100% |
233
4.02 IPS |
|
|
Machine Translation (HP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (Q)
|
50% |
149
5.30 IPS |
