samsung SM-S931Z
Geekbench AI Score
617
Single Precision Score
27251
Half Precision Score
60813
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 11:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
428
79.6 IPS |
|
|
Image Classification (HP)
|
100% |
21288
3.96 KIPS |
|
|
Image Classification (Q)
|
97% |
49225
9.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
531
8.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
13711
222.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
39859
648.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
603
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
120819
141.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
478326
559.9 IPS |
|
|
Object Detection (SP)
|
100% |
363
28.8 IPS |
|
|
Object Detection (HP)
|
100% |
18294
1.45 KIPS |
|
|
Object Detection (Q)
|
85% |
21141
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
886
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
42328
502.9 IPS |
|
|
Face Detection (Q)
|
97% |
145622
1.74 KIPS |
|
|
Depth Estimation (SP)
|
100% |
775
5.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
83942
646.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
144355
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
1329
1.71 IPS |
|
|
Style Transfer (HP)
|
98% |
98763
127.4 IPS |
|
|
Style Transfer (Q)
|
98% |
491613
633.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
431
15.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54031
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134888
5.00 KIPS |
|
|
Text Classification (SP)
|
100% |
459
612.8 IPS |
|
|
Text Classification (HP)
|
100% |
3901
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
7941
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
897
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4734
81.6 IPS |
|
|
Machine Translation (Q)
|
56% |
3150
81.2 IPS |
