samsung SCG09
Geekbench AI Score
694
Single Precision Score
627
Half Precision Score
1159
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Masatako123 |
| Upload Date | November 23 2024 09:39 PM |
| Views | 11 |
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% |
439
81.6 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.8 IPS |
|
|
Image Classification (Q)
|
100% |
1350
251.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
547
8.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
543
8.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
1533
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1924
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1905
2.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
2964
3.52 IPS |
|
|
Object Detection (SP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (HP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (Q)
|
83% |
996
80.5 IPS |
|
|
Face Detection (SP)
|
100% |
1157
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
1200
14.3 IPS |
|
|
Face Detection (Q)
|
95% |
2351
28.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1383
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1613
12.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2313
21.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2867
3.72 IPS |
|
|
Style Transfer (HP)
|
89% |
2967
3.85 IPS |
|
|
Style Transfer (Q)
|
98% |
5466
7.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
873
32.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
268
9.89 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
618
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
156
208.0 IPS |
|
|
Text Classification (HP)
|
100% |
154
205.3 IPS |
|
|
Text Classification (Q)
|
88% |
267
360.0 IPS |
|
|
Machine Translation (SP)
|
100% |
237
4.08 IPS |
|
|
Machine Translation (HP)
|
100% |
230
3.97 IPS |
|
|
Machine Translation (Q)
|
50% |
147
5.23 IPS |
