Samsung Galaxy S25
Geekbench AI Score
2829
Single Precision Score
2816
Half Precision Score
5179
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 02 2025 10:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1940
360.7 IPS |
|
|
Image Classification (HP)
|
100% |
2013
374.4 IPS |
|
|
Image Classification (Q)
|
100% |
4512
839.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2604
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2499
40.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5449
88.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5423
6.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
5554
6.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
13233
15.7 IPS |
|
|
Object Detection (SP)
|
98% |
1723
137.1 IPS |
|
|
Object Detection (HP)
|
98% |
1697
135.1 IPS |
|
|
Object Detection (Q)
|
83% |
3980
321.5 IPS |
|
|
Face Detection (SP)
|
100% |
4411
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
4519
53.7 IPS |
|
|
Face Detection (Q)
|
95% |
9880
117.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4522
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4371
33.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
10821
99.1 IPS |
|
|
Style Transfer (SP)
|
89% |
11585
15.0 IPS |
|
|
Style Transfer (HP)
|
89% |
11373
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25671
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2326
85.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2323
85.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6474
239.9 IPS |
|
|
Text Classification (SP)
|
100% |
969
1.29 KIPS |
|
|
Text Classification (HP)
|
99% |
974
1.30 KIPS |
|
|
Text Classification (Q)
|
88% |
1069
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1340
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1303
22.4 IPS |
|
|
Machine Translation (Q)
|
50% |
565
20.1 IPS |
