samsung SM-S931W
Geekbench AI Score
635
Single Precision Score
631
Half Precision Score
1305
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | matus201 |
| Upload Date | May 22 2025 08:33 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S931W |
| Model ID | samsung SM-S931W |
| 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% |
414
76.9 IPS |
|
|
Image Classification (HP)
|
100% |
421
78.2 IPS |
|
|
Image Classification (Q)
|
99% |
1077
200.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
528
8.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
541
8.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
1099
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
693
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
617
0.72 IPS |
|
|
Pose Estimation (Q)
|
98% |
2340
2.74 IPS |
|
|
Object Detection (SP)
|
100% |
283
22.4 IPS |
|
|
Object Detection (HP)
|
100% |
333
26.4 IPS |
|
|
Object Detection (Q)
|
87% |
829
66.5 IPS |
|
|
Face Detection (SP)
|
100% |
781
9.28 IPS |
|
|
Face Detection (HP)
|
100% |
780
9.27 IPS |
|
|
Face Detection (Q)
|
97% |
2213
26.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
903
6.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
851
6.55 IPS |
|
|
Depth Estimation (Q)
|
64% |
1411
12.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1566
2.01 IPS |
|
|
Style Transfer (HP)
|
100% |
1402
1.80 IPS |
|
|
Style Transfer (Q)
|
98% |
3534
4.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
441
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
450
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1400
51.9 IPS |
|
|
Text Classification (SP)
|
100% |
503
671.1 IPS |
|
|
Text Classification (HP)
|
100% |
502
670.5 IPS |
|
|
Text Classification (Q)
|
91% |
717
963.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1026
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1031
17.8 IPS |
|
|
Machine Translation (Q)
|
57% |
567
13.8 IPS |
