samsung SM-S931B
Geekbench AI Score
2278
Single Precision Score
2421
Half Precision Score
3553
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | acuesta |
| Upload Date | July 11 2025 08:50 AM |
| Views | 8 |
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% |
2014
374.5 IPS |
|
|
Image Classification (HP)
|
100% |
2007
373.3 IPS |
|
|
Image Classification (Q)
|
100% |
4379
814.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2327
37.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5446
88.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3644
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
4351
5.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
8953
10.6 IPS |
|
|
Object Detection (SP)
|
98% |
1102
87.7 IPS |
|
|
Object Detection (HP)
|
98% |
1098
87.3 IPS |
|
|
Object Detection (Q)
|
83% |
1301
105.1 IPS |
|
|
Face Detection (SP)
|
100% |
3732
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
4291
51.0 IPS |
|
|
Face Detection (Q)
|
95% |
8870
105.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4275
33.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4501
34.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
7615
69.8 IPS |
|
|
Style Transfer (SP)
|
89% |
9408
12.2 IPS |
|
|
Style Transfer (HP)
|
89% |
9216
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15809
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1916
70.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4059
150.4 IPS |
|
|
Text Classification (SP)
|
100% |
597
797.1 IPS |
|
|
Text Classification (HP)
|
99% |
667
890.8 IPS |
|
|
Text Classification (Q)
|
88% |
706
952.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1345
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1364
23.5 IPS |
|
|
Machine Translation (Q)
|
50% |
378
13.4 IPS |
