Samsung Galaxy S25
Geekbench AI Score
324
Single Precision Score
25156
Half Precision Score
55671
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 04:15 PM |
| Views | 1 |
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% |
179
33.3 IPS |
|
|
Image Classification (HP)
|
100% |
18463
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
40992
7.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
239
3.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
12727
206.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
39729
646.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
380
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
121566
141.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
471983
552.4 IPS |
|
|
Object Detection (SP)
|
100% |
181
14.3 IPS |
|
|
Object Detection (HP)
|
100% |
17062
1.35 KIPS |
|
|
Object Detection (Q)
|
85% |
19851
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
487
5.78 IPS |
|
|
Face Detection (HP)
|
100% |
35728
424.5 IPS |
|
|
Face Detection (Q)
|
97% |
111682
1.33 KIPS |
|
|
Depth Estimation (SP)
|
100% |
428
3.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
78583
605.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
134496
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
774
1.00 IPS |
|
|
Style Transfer (HP)
|
98% |
97839
126.2 IPS |
|
|
Style Transfer (Q)
|
98% |
484861
625.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
212
7.84 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51053
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
125911
4.67 KIPS |
|
|
Text Classification (SP)
|
100% |
272
363.1 IPS |
|
|
Text Classification (HP)
|
100% |
3798
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
7680
10.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
467
8.05 IPS |
|
|
Machine Translation (HP)
|
100% |
3911
67.4 IPS |
|
|
Machine Translation (Q)
|
56% |
2661
68.6 IPS |
