samsung SM-S931Z
Geekbench AI Score
2736
Single Precision Score
3991
Half Precision Score
3322
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Rintaro |
| Upload Date | July 03 2025 04:02 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1713
318.7 IPS |
|
|
Image Classification (HP)
|
100% |
2799
520.5 IPS |
|
|
Image Classification (Q)
|
100% |
2789
518.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3951
64.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6847
111.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5496
89.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13815
16.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
24707
28.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24129
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.1 IPS |
|
|
Object Detection (HP)
|
99% |
2163
171.5 IPS |
|
|
Object Detection (Q)
|
85% |
2035
163.8 IPS |
|
|
Face Detection (SP)
|
100% |
5380
63.9 IPS |
|
|
Face Detection (HP)
|
100% |
4869
57.9 IPS |
|
|
Face Detection (Q)
|
97% |
3930
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5222
40.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
7531
58.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
5816
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17362
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38430
49.4 IPS |
|
|
Style Transfer (Q)
|
98% |
37918
48.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3761
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5435
200.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5391
199.8 IPS |
|
|
Text Classification (SP)
|
35% |
87
850.7 IPS |
|
|
Text Classification (HP)
|
35% |
85
775.2 IPS |
|
|
Text Classification (Q)
|
33% |
66
736.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1538
26.5 IPS |
|
|
Machine Translation (Q)
|
48% |
706
27.1 IPS |
