samsung SCG33
Geekbench AI Score
484
Single Precision Score
484
Half Precision Score
919
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | dipsan |
| Upload Date | March 15 2025 01:34 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SCG33 |
| Model ID | samsung SCG33 |
| Motherboard | a25ex |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
212
39.4 IPS |
|
|
Image Classification (HP)
|
100% |
211
39.2 IPS |
|
|
Image Classification (Q)
|
100% |
624
116.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
263
4.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
265
4.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
699
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1017
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1041
1.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
1589
1.88 IPS |
|
|
Object Detection (SP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (Q)
|
83% |
609
49.2 IPS |
|
|
Face Detection (SP)
|
100% |
704
8.37 IPS |
|
|
Face Detection (HP)
|
100% |
709
8.42 IPS |
|
|
Face Detection (Q)
|
95% |
1435
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
907
6.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
872
6.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
1453
13.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1732
2.25 IPS |
|
|
Style Transfer (HP)
|
89% |
1752
2.27 IPS |
|
|
Style Transfer (Q)
|
98% |
3605
4.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
455
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
877
32.5 IPS |
|
|
Text Classification (SP)
|
100% |
255
339.8 IPS |
|
|
Text Classification (HP)
|
100% |
255
339.9 IPS |
|
|
Text Classification (Q)
|
88% |
480
647.6 IPS |
|
|
Machine Translation (SP)
|
100% |
455
7.84 IPS |
|
|
Machine Translation (HP)
|
100% |
452
7.78 IPS |
|
|
Machine Translation (Q)
|
50% |
322
11.4 IPS |
