samsung SM-S931Z
Geekbench AI Score
2672
Single Precision Score
4042
Half Precision Score
3484
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 11:20 AM |
| Views | 1 |
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% |
1529
284.3 IPS |
|
|
Image Classification (HP)
|
100% |
2779
516.8 IPS |
|
|
Image Classification (Q)
|
100% |
2928
544.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3246
52.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5170
83.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5124
83.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13738
16.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
24720
28.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24030
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
99% |
1602
127.1 IPS |
|
|
Object Detection (Q)
|
85% |
1500
120.8 IPS |
|
|
Face Detection (SP)
|
100% |
4709
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
8409
99.9 IPS |
|
|
Face Detection (Q)
|
97% |
8247
98.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7062
54.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9643
74.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
7613
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17179
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38426
49.4 IPS |
|
|
Style Transfer (Q)
|
98% |
36571
47.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3509
129.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5270
194.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5166
191.5 IPS |
|
|
Text Classification (SP)
|
35% |
82
794.2 IPS |
|
|
Text Classification (HP)
|
35% |
80
723.0 IPS |
|
|
Text Classification (Q)
|
33% |
66
742.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1558
26.8 IPS |
|
|
Machine Translation (Q)
|
48% |
624
24.0 IPS |
