Samsung Galaxy S25
Geekbench AI Score
554
Single Precision Score
27943
Half Precision Score
69762
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | matus201 |
| Upload Date | December 24 2025 01:59 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S25 |
| 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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
433
80.6 IPS |
|
|
Image Classification (HP)
|
100% |
20010
3.72 KIPS |
|
|
Image Classification (Q)
|
96% |
49663
9.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
347
5.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
13273
215.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
50718
824.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
573
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
124808
145.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
480123
562.0 IPS |
|
|
Object Detection (SP)
|
100% |
342
27.2 IPS |
|
|
Object Detection (HP)
|
100% |
18937
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
29749
2.39 KIPS |
|
|
Face Detection (SP)
|
100% |
818
9.72 IPS |
|
|
Face Detection (HP)
|
100% |
40382
479.8 IPS |
|
|
Face Detection (Q)
|
97% |
139781
1.67 KIPS |
|
|
Depth Estimation (SP)
|
100% |
772
5.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
83082
640.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
174633
1.62 KIPS |
|
|
Style Transfer (SP)
|
100% |
1225
1.57 IPS |
|
|
Style Transfer (HP)
|
100% |
92979
119.5 IPS |
|
|
Style Transfer (Q)
|
98% |
484839
625.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
364
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54084
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
136173
5.05 KIPS |
|
|
Text Classification (SP)
|
100% |
395
527.0 IPS |
|
|
Text Classification (HP)
|
100% |
4409
5.89 KIPS |
|
|
Text Classification (Q)
|
93% |
12118
16.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6217
107.1 IPS |
|
|
Machine Translation (Q)
|
56% |
3886
100.1 IPS |
