samsung SCG33
Geekbench AI Score
139
Single Precision Score
192
Half Precision Score
195
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | dipsan |
| Upload Date | March 15 2025 02:29 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
90
16.7 IPS |
|
|
Image Classification (HP)
|
100% |
158
29.4 IPS |
|
|
Image Classification (Q)
|
99% |
149
27.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
124
2.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
226
3.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
215
3.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
87
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
104
0.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
104
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
75
5.95 IPS |
|
|
Object Detection (HP)
|
100% |
124
9.83 IPS |
|
|
Object Detection (Q)
|
83% |
117
9.44 IPS |
|
|
Face Detection (SP)
|
100% |
284
3.38 IPS |
|
|
Face Detection (HP)
|
100% |
401
4.77 IPS |
|
|
Face Detection (Q)
|
97% |
414
4.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
171
1.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
219
1.69 IPS |
|
|
Depth Estimation (Q)
|
62% |
176
1.67 IPS |
|
|
Style Transfer (SP)
|
100% |
333
0.43 IPS |
|
|
Style Transfer (HP)
|
100% |
470
0.60 IPS |
|
|
Style Transfer (Q)
|
98% |
468
0.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
86
3.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
133
4.93 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
132
4.90 IPS |
|
|
Text Classification (SP)
|
100% |
131
174.5 IPS |
|
|
Text Classification (HP)
|
100% |
130
174.2 IPS |
|
|
Text Classification (Q)
|
91% |
244
327.8 IPS |
|
|
Machine Translation (SP)
|
100% |
217
3.74 IPS |
|
|
Machine Translation (HP)
|
100% |
214
3.68 IPS |
|
|
Machine Translation (Q)
|
57% |
194
4.74 IPS |
