samsung SCG09
Geekbench AI Score
336
Single Precision Score
336
Half Precision Score
326
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Masatako123 |
| Upload Date | December 01 2024 01:33 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
221
41.2 IPS |
|
|
Image Classification (HP)
|
100% |
216
40.2 IPS |
|
|
Image Classification (Q)
|
97% |
207
38.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
239
3.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
240
3.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
234
3.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
736
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
386
0.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
370
0.43 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
89% |
189
15.1 IPS |
|
|
Face Detection (SP)
|
100% |
1187
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1237
14.7 IPS |
|
|
Face Detection (Q)
|
97% |
1187
14.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
927
7.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
993
7.67 IPS |
|
|
Depth Estimation (Q)
|
62% |
697
6.60 IPS |
|
|
Style Transfer (SP)
|
100% |
1566
2.01 IPS |
|
|
Style Transfer (HP)
|
100% |
2563
3.29 IPS |
|
|
Style Transfer (Q)
|
98% |
2326
3.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
313
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
307
11.4 IPS |
|
|
Text Classification (SP)
|
100% |
47
62.5 IPS |
|
|
Text Classification (HP)
|
100% |
46
61.5 IPS |
|
|
Text Classification (Q)
|
91% |
94
127.0 IPS |
|
|
Machine Translation (SP)
|
100% |
84
1.44 IPS |
|
|
Machine Translation (HP)
|
100% |
84
1.46 IPS |
|
|
Machine Translation (Q)
|
57% |
73
1.78 IPS |
