samsung SM-S937B
Geekbench AI Score
513
Single Precision Score
26948
Half Precision Score
60250
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 19 2025 10:30 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S937B |
| Model ID | samsung SM-S937B |
| 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% |
462
85.9 IPS |
|
|
Image Classification (HP)
|
100% |
21378
3.98 KIPS |
|
|
Image Classification (Q)
|
97% |
50306
9.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
447
7.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
13711
222.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
41687
677.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
571
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
123696
144.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
477319
558.7 IPS |
|
|
Object Detection (SP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (HP)
|
100% |
18847
1.49 KIPS |
|
|
Object Detection (Q)
|
85% |
21603
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
714
8.48 IPS |
|
|
Face Detection (HP)
|
100% |
40365
479.6 IPS |
|
|
Face Detection (Q)
|
97% |
132095
1.58 KIPS |
|
|
Depth Estimation (SP)
|
100% |
666
5.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
81433
627.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
142462
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
1029
1.32 IPS |
|
|
Style Transfer (HP)
|
98% |
98198
126.6 IPS |
|
|
Style Transfer (Q)
|
98% |
490123
632.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53235
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134102
4.97 KIPS |
|
|
Text Classification (SP)
|
100% |
395
527.3 IPS |
|
|
Text Classification (HP)
|
100% |
3913
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
8050
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
630
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4396
75.7 IPS |
|
|
Machine Translation (Q)
|
56% |
2928
75.4 IPS |
