samsung SM-S931Z
Geekbench AI Score
2823
Single Precision Score
2879
Half Precision Score
5160
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 11:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S931Z |
| Model ID | samsung SM-S931Z |
| 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% |
1751
325.6 IPS |
|
|
Image Classification (HP)
|
100% |
2059
382.9 IPS |
|
|
Image Classification (Q)
|
100% |
4559
847.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2482
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2428
39.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5222
84.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5565
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
5393
6.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
13702
16.3 IPS |
|
|
Object Detection (SP)
|
98% |
1773
141.1 IPS |
|
|
Object Detection (HP)
|
98% |
1813
144.3 IPS |
|
|
Object Detection (Q)
|
83% |
4195
338.9 IPS |
|
|
Face Detection (SP)
|
100% |
4414
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
4540
54.0 IPS |
|
|
Face Detection (Q)
|
95% |
9888
118.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4671
36.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4784
37.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
10609
97.2 IPS |
|
|
Style Transfer (SP)
|
89% |
11935
15.5 IPS |
|
|
Style Transfer (HP)
|
89% |
12023
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25002
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2315
85.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2281
84.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6740
249.8 IPS |
|
|
Text Classification (SP)
|
100% |
944
1.26 KIPS |
|
|
Text Classification (HP)
|
99% |
982
1.31 KIPS |
|
|
Text Classification (Q)
|
88% |
1054
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1394
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1372
23.6 IPS |
|
|
Machine Translation (Q)
|
50% |
525
18.6 IPS |
