Samsung Galaxy S25
Geekbench AI Score
344
Single Precision Score
25403
Half Precision Score
56214
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | sageriramadhan |
| Upload Date | November 15 2025 11:57 PM |
| Views | 4 |
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-S931B |
| 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% |
242
45.1 IPS |
|
|
Image Classification (HP)
|
100% |
19468
3.62 KIPS |
|
|
Image Classification (Q)
|
97% |
44728
8.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
275
4.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
13202
214.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
39127
636.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
381
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
121764
142.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
473280
553.9 IPS |
|
|
Object Detection (SP)
|
100% |
206
16.4 IPS |
|
|
Object Detection (HP)
|
100% |
17007
1.35 KIPS |
|
|
Object Detection (Q)
|
85% |
20039
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
486
5.77 IPS |
|
|
Face Detection (HP)
|
100% |
35752
424.8 IPS |
|
|
Face Detection (Q)
|
97% |
112213
1.34 KIPS |
|
|
Depth Estimation (SP)
|
100% |
427
3.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
77249
595.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
132972
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
778
1.00 IPS |
|
|
Style Transfer (HP)
|
98% |
98101
126.5 IPS |
|
|
Style Transfer (Q)
|
98% |
486563
627.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
214
7.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51664
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
124548
4.62 KIPS |
|
|
Text Classification (SP)
|
100% |
273
364.4 IPS |
|
|
Text Classification (HP)
|
100% |
3866
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
7882
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (HP)
|
100% |
3886
66.9 IPS |
|
|
Machine Translation (Q)
|
56% |
2664
68.6 IPS |
