Samsung Galaxy S25
Geekbench AI Score
2806
Single Precision Score
4046
Half Precision Score
5192
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | matus201 |
| Upload Date | February 22 2026 07:51 PM |
| Views | 5 |
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-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% |
2050
381.2 IPS |
|
|
Image Classification (HP)
|
100% |
2449
455.5 IPS |
|
|
Image Classification (Q)
|
99% |
4515
842.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2493
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3349
54.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5316
86.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5807
6.78 IPS |
|
|
Pose Estimation (HP)
|
92% |
11358
13.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
14087
16.5 IPS |
|
|
Object Detection (SP)
|
98% |
1815
144.4 IPS |
|
|
Object Detection (HP)
|
97% |
2126
169.2 IPS |
|
|
Object Detection (Q)
|
85% |
3863
311.2 IPS |
|
|
Face Detection (SP)
|
100% |
4530
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
7297
86.7 IPS |
|
|
Face Detection (Q)
|
97% |
10507
125.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4636
35.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8318
64.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
8991
83.0 IPS |
|
|
Style Transfer (SP)
|
89% |
11400
14.8 IPS |
|
|
Style Transfer (HP)
|
88% |
14049
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
26312
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2033
75.1 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
4353
161.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5531
204.9 IPS |
|
|
Text Classification (SP)
|
100% |
812
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1124
1.50 KIPS |
|
|
Text Classification (Q)
|
93% |
1042
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1424
24.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1423
24.6 IPS |
|
|
Machine Translation (Q)
|
55% |
761
20.4 IPS |
