samsung SM-S937U1
Geekbench AI Score
497
Single Precision Score
26871
Half Precision Score
60150
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Betancd |
| Upload Date | July 12 2025 09:01 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
321
59.7 IPS |
|
|
Image Classification (HP)
|
100% |
20762
3.86 KIPS |
|
|
Image Classification (Q)
|
97% |
48609
9.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
450
7.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
13489
218.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
41147
669.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
544
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
123395
144.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
476440
557.6 IPS |
|
|
Object Detection (SP)
|
100% |
290
23.0 IPS |
|
|
Object Detection (HP)
|
100% |
18573
1.47 KIPS |
|
|
Object Detection (Q)
|
85% |
21507
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
720
8.55 IPS |
|
|
Face Detection (HP)
|
100% |
40736
484.0 IPS |
|
|
Face Detection (Q)
|
97% |
136443
1.63 KIPS |
|
|
Depth Estimation (SP)
|
100% |
667
5.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
82372
634.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
140991
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
1017
1.31 IPS |
|
|
Style Transfer (HP)
|
98% |
98636
127.2 IPS |
|
|
Style Transfer (Q)
|
98% |
491399
633.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
310
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53485
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134140
4.97 KIPS |
|
|
Text Classification (SP)
|
100% |
395
527.1 IPS |
|
|
Text Classification (HP)
|
100% |
3894
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
8049
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4437
76.4 IPS |
|
|
Machine Translation (Q)
|
56% |
2964
76.3 IPS |
