samsung SM-S931B
Geekbench AI Score
2879
Single Precision Score
2883
Half Precision Score
4898
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | lensmich |
| Upload Date | February 22 2025 06:10 PM |
| Views | 16 |
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% |
2096
389.7 IPS |
|
|
Image Classification (HP)
|
100% |
2126
395.3 IPS |
|
|
Image Classification (Q)
|
100% |
4610
857.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2522
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2615
42.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5544
90.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5619
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
5379
6.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
13471
16.0 IPS |
|
|
Object Detection (SP)
|
98% |
1727
137.5 IPS |
|
|
Object Detection (HP)
|
98% |
1830
145.6 IPS |
|
|
Object Detection (Q)
|
83% |
4043
326.5 IPS |
|
|
Face Detection (SP)
|
100% |
4430
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
4431
52.6 IPS |
|
|
Face Detection (Q)
|
95% |
9626
114.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4933
38.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4663
36.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
11016
100.9 IPS |
|
|
Style Transfer (SP)
|
89% |
11655
15.1 IPS |
|
|
Style Transfer (HP)
|
89% |
11640
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23787
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2280
84.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2215
81.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5011
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
919
1.23 KIPS |
|
|
Text Classification (HP)
|
99% |
977
1.30 KIPS |
|
|
Text Classification (Q)
|
88% |
1078
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1431
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1395
24.0 IPS |
|
|
Machine Translation (Q)
|
50% |
419
14.9 IPS |
