samsung SCG09
Geekbench AI Score
225
Single Precision Score
221
Half Precision Score
12858
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Masatako123 |
| Upload Date | November 16 2024 09:18 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
153
28.4 IPS |
|
|
Image Classification (HP)
|
100% |
168
31.3 IPS |
|
|
Image Classification (Q)
|
99% |
13112
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
217
3.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
219
3.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
12430
202.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
292
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
220
0.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
94310
110.6 IPS |
|
|
Object Detection (SP)
|
100% |
123
9.78 IPS |
|
|
Object Detection (HP)
|
100% |
125
9.91 IPS |
|
|
Object Detection (Q)
|
88% |
5506
441.1 IPS |
|
|
Face Detection (SP)
|
100% |
306
3.63 IPS |
|
|
Face Detection (HP)
|
100% |
304
3.62 IPS |
|
|
Face Detection (Q)
|
97% |
27074
322.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
271
2.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
271
2.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
35206
324.1 IPS |
|
|
Style Transfer (SP)
|
100% |
455
0.58 IPS |
|
|
Style Transfer (HP)
|
100% |
450
0.58 IPS |
|
|
Style Transfer (Q)
|
98% |
97089
125.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
134
4.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
134
4.96 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
33396
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
187
250.2 IPS |
|
|
Text Classification (HP)
|
100% |
190
253.8 IPS |
|
|
Text Classification (Q)
|
94% |
2512
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (HP)
|
100% |
301
5.18 IPS |
|
|
Machine Translation (Q)
|
37% |
188
18.9 IPS |
