samsung SM-S937U1
Geekbench AI Score
2886
Single Precision Score
4656
Half Precision Score
3800
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 09:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1993
370.7 IPS |
|
|
Image Classification (HP)
|
100% |
3448
641.2 IPS |
|
|
Image Classification (Q)
|
100% |
2819
524.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3918
63.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6795
110.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6532
106.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13629
15.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
24952
29.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
24645
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
99% |
2049
162.5 IPS |
|
|
Object Detection (Q)
|
85% |
1944
156.5 IPS |
|
|
Face Detection (SP)
|
100% |
5229
62.1 IPS |
|
|
Face Detection (HP)
|
100% |
9402
111.7 IPS |
|
|
Face Detection (Q)
|
97% |
8308
99.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6976
53.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9566
73.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
7821
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16849
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40209
51.7 IPS |
|
|
Style Transfer (Q)
|
98% |
38588
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4113
151.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6420
237.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5383
199.5 IPS |
|
|
Text Classification (SP)
|
35% |
86
840.7 IPS |
|
|
Text Classification (HP)
|
35% |
90
816.4 IPS |
|
|
Text Classification (Q)
|
33% |
69
773.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1111
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1916
33.0 IPS |
|
|
Machine Translation (Q)
|
48% |
766
29.4 IPS |
