samsung SCG37
Geekbench AI Score
362
Single Precision Score
362
Half Precision Score
818
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | jcalandroid |
| Upload Date | March 13 2026 05:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SCG37 |
| Model ID | samsung SCG37 |
| Motherboard | canoe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 2 revision 1 |
| Base Frequency | 3.63 GHz |
| Cluster 1 | 6 Cores @ 3.63 GHz |
| Cluster 2 | 2 Cores @ 4.74 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
207
38.5 IPS |
|
|
Image Classification (HP)
|
100% |
208
38.6 IPS |
|
|
Image Classification (Q)
|
99% |
524
97.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
276
4.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
276
4.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
573
9.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
369
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
367
0.43 IPS |
|
|
Pose Estimation (Q)
|
98% |
1411
1.65 IPS |
|
|
Object Detection (SP)
|
100% |
207
16.4 IPS |
|
|
Object Detection (HP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (Q)
|
87% |
564
45.2 IPS |
|
|
Face Detection (SP)
|
100% |
572
6.80 IPS |
|
|
Face Detection (HP)
|
100% |
573
6.81 IPS |
|
|
Face Detection (Q)
|
97% |
1254
15.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
478
3.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
482
3.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
1113
10.1 IPS |
|
|
Style Transfer (SP)
|
100% |
856
1.10 IPS |
|
|
Style Transfer (HP)
|
100% |
847
1.09 IPS |
|
|
Style Transfer (Q)
|
98% |
2418
3.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
241
8.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
240
8.85 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
826
30.6 IPS |
|
|
Text Classification (SP)
|
100% |
308
410.7 IPS |
|
|
Text Classification (HP)
|
100% |
308
411.7 IPS |
|
|
Text Classification (Q)
|
91% |
513
689.8 IPS |
|
|
Machine Translation (SP)
|
100% |
513
8.84 IPS |
|
|
Machine Translation (HP)
|
100% |
520
8.96 IPS |
|
|
Machine Translation (Q)
|
57% |
393
9.60 IPS |
