samsung SM-S931B
Geekbench AI Score
2727
Single Precision Score
2690
Half Precision Score
4544
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 20 2025 01:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S931B |
| Model ID | samsung SM-S931B |
| 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% |
2149
399.6 IPS |
|
|
Image Classification (HP)
|
100% |
2085
387.8 IPS |
|
|
Image Classification (Q)
|
100% |
4600
855.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2579
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2474
40.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4741
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5661
6.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
5218
6.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
13447
15.9 IPS |
|
|
Object Detection (SP)
|
98% |
1461
116.3 IPS |
|
|
Object Detection (HP)
|
98% |
1243
98.9 IPS |
|
|
Object Detection (Q)
|
83% |
1645
132.8 IPS |
|
|
Face Detection (SP)
|
100% |
3928
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
4635
55.1 IPS |
|
|
Face Detection (Q)
|
95% |
9995
119.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4770
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4733
36.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
10928
100.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9697
12.6 IPS |
|
|
Style Transfer (HP)
|
89% |
10117
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23522
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2072
76.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2069
76.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6351
235.4 IPS |
|
|
Text Classification (SP)
|
100% |
943
1.26 KIPS |
|
|
Text Classification (HP)
|
99% |
929
1.24 KIPS |
|
|
Text Classification (Q)
|
88% |
1011
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1402
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1391
24.0 IPS |
|
|
Machine Translation (Q)
|
50% |
472
16.8 IPS |
