samsung SM-S931Z
Geekbench AI Score
2420
Single Precision Score
2349
Half Precision Score
4185
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 15 2025 09:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1942
361.1 IPS |
|
|
Image Classification (HP)
|
100% |
1983
368.9 IPS |
|
|
Image Classification (Q)
|
100% |
4014
746.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2350
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2364
38.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5042
82.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5133
5.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
4539
5.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
12153
14.4 IPS |
|
|
Object Detection (SP)
|
98% |
1191
94.8 IPS |
|
|
Object Detection (HP)
|
98% |
1310
104.2 IPS |
|
|
Object Detection (Q)
|
83% |
3083
249.0 IPS |
|
|
Face Detection (SP)
|
100% |
4089
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
4011
47.7 IPS |
|
|
Face Detection (Q)
|
95% |
8398
100.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4297
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3546
27.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
8720
79.9 IPS |
|
|
Style Transfer (SP)
|
89% |
10076
13.1 IPS |
|
|
Style Transfer (HP)
|
89% |
11354
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19132
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2010
74.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1885
69.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5178
191.9 IPS |
|
|
Text Classification (SP)
|
100% |
736
982.7 IPS |
|
|
Text Classification (HP)
|
99% |
748
998.6 IPS |
|
|
Text Classification (Q)
|
88% |
833
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
809
13.9 IPS |
|
|
Machine Translation (Q)
|
50% |
360
12.8 IPS |
