samsung SM-S937U1
Geekbench AI Score
458
Single Precision Score
439
Half Precision Score
918
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 08 2025 03:10 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S937U1 |
| Model ID | samsung SM-S937U1 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
370
68.7 IPS |
|
|
Image Classification (HP)
|
100% |
332
61.8 IPS |
|
|
Image Classification (Q)
|
99% |
572
106.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
292
4.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
641
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
454
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
382
0.45 IPS |
|
|
Pose Estimation (Q)
|
98% |
1691
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (Q)
|
87% |
630
50.5 IPS |
|
|
Face Detection (SP)
|
100% |
696
8.28 IPS |
|
|
Face Detection (HP)
|
100% |
647
7.69 IPS |
|
|
Face Detection (Q)
|
97% |
1246
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
559
4.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
554
4.27 IPS |
|
|
Depth Estimation (Q)
|
64% |
1213
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
963
1.24 IPS |
|
|
Style Transfer (HP)
|
100% |
899
1.16 IPS |
|
|
Style Transfer (Q)
|
98% |
2669
3.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
313
11.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1021
37.8 IPS |
|
|
Text Classification (SP)
|
100% |
399
533.2 IPS |
|
|
Text Classification (HP)
|
100% |
400
533.7 IPS |
|
|
Text Classification (Q)
|
91% |
615
827.2 IPS |
|
|
Machine Translation (SP)
|
100% |
768
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (Q)
|
57% |
430
10.5 IPS |
