samsung SM-S931B
Geekbench AI Score
2406
Single Precision Score
2325
Half Precision Score
3543
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 15 2025 05:56 PM |
| Views | 1 |
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% |
1999
371.7 IPS |
|
|
Image Classification (HP)
|
100% |
2031
377.7 IPS |
|
|
Image Classification (Q)
|
100% |
4501
837.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2048
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3994
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5248
6.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
3787
4.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
11987
14.2 IPS |
|
|
Object Detection (SP)
|
98% |
1378
109.6 IPS |
|
|
Object Detection (HP)
|
98% |
1329
105.7 IPS |
|
|
Object Detection (Q)
|
83% |
1550
125.2 IPS |
|
|
Face Detection (SP)
|
100% |
3088
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
3077
36.6 IPS |
|
|
Face Detection (Q)
|
95% |
8821
105.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4031
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4233
32.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
9741
89.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8414
10.9 IPS |
|
|
Style Transfer (HP)
|
89% |
7741
10.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19556
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2193
81.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1878
69.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5527
204.8 IPS |
|
|
Text Classification (SP)
|
100% |
731
976.2 IPS |
|
|
Text Classification (HP)
|
99% |
842
1.12 KIPS |
|
|
Text Classification (Q)
|
88% |
286
386.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1312
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1325
22.8 IPS |
|
|
Machine Translation (Q)
|
50% |
352
12.5 IPS |
