Samsung Galaxy S25
Geekbench AI Score
2423
Single Precision Score
3972
Half Precision Score
3435
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Q0AL |
| Upload Date | November 02 2025 06:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S25 |
| Model ID | samsung SM-S931U |
| 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% |
1687
313.7 IPS |
|
|
Image Classification (HP)
|
100% |
3006
558.9 IPS |
|
|
Image Classification (Q)
|
100% |
2851
530.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3150
51.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4769
77.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5119
83.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13805
16.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
25745
30.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24272
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.5 IPS |
|
|
Object Detection (HP)
|
99% |
2059
163.3 IPS |
|
|
Object Detection (Q)
|
85% |
1928
155.2 IPS |
|
|
Face Detection (SP)
|
100% |
5308
63.1 IPS |
|
|
Face Detection (HP)
|
100% |
9498
112.9 IPS |
|
|
Face Detection (Q)
|
97% |
8482
101.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3193
24.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9613
74.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
7409
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17232
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29717
38.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29470
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3006
111.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4627
170.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4316
160.0 IPS |
|
|
Text Classification (SP)
|
35% |
65
636.5 IPS |
|
|
Text Classification (HP)
|
35% |
62
563.0 IPS |
|
|
Text Classification (Q)
|
33% |
70
780.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1653
28.5 IPS |
|
|
Machine Translation (Q)
|
48% |
600
23.0 IPS |
