samsung SC-52B
Geekbench AI Score
161
Single Precision Score
161
Half Precision Score
16177
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | SyameimaruKoa |
| Upload Date | March 08 2025 03:09 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM SM8350 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SC-52B |
| Model ID | samsung SC-52B |
| Motherboard | lahaina |
| Governor | performance |
| 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 | 10.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
91
17.0 IPS |
|
|
Image Classification (HP)
|
100% |
92
17.2 IPS |
|
|
Image Classification (Q)
|
99% |
13023
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
122
1.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
122
1.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
11246
182.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
166
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
165
0.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
100077
117.3 IPS |
|
|
Object Detection (SP)
|
100% |
92
7.30 IPS |
|
|
Object Detection (HP)
|
100% |
92
7.27 IPS |
|
|
Object Detection (Q)
|
88% |
7868
630.3 IPS |
|
|
Face Detection (SP)
|
100% |
247
2.93 IPS |
|
|
Face Detection (HP)
|
100% |
249
2.96 IPS |
|
|
Face Detection (Q)
|
97% |
38713
461.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
213
1.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
214
1.65 IPS |
|
|
Depth Estimation (Q)
|
64% |
32514
299.3 IPS |
|
|
Style Transfer (SP)
|
100% |
384
0.49 IPS |
|
|
Style Transfer (HP)
|
100% |
385
0.50 IPS |
|
|
Style Transfer (Q)
|
98% |
144397
186.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
105
3.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
105
3.86 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
33607
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
137
182.3 IPS |
|
|
Text Classification (HP)
|
100% |
135
180.0 IPS |
|
|
Text Classification (Q)
|
94% |
2929
3.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
239
4.11 IPS |
|
|
Machine Translation (HP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (Q)
|
50% |
595
20.6 IPS |
