Samsung Galaxy S25
Geekbench AI Score
1879
Single Precision Score
2822
Half Precision Score
2355
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 10 2026 05:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1161
216.0 IPS |
|
|
Image Classification (HP)
|
100% |
1809
336.5 IPS |
|
|
Image Classification (Q)
|
100% |
1734
322.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3538
57.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3079
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9123
10.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
16448
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16145
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
943
74.8 IPS |
|
|
Object Detection (HP)
|
99% |
1259
99.9 IPS |
|
|
Object Detection (Q)
|
85% |
1344
108.2 IPS |
|
|
Face Detection (SP)
|
100% |
4018
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
6850
81.4 IPS |
|
|
Face Detection (Q)
|
97% |
5517
65.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4622
35.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
6677
51.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
5213
50.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11740
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25811
33.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25131
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2549
94.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4130
152.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3991
147.9 IPS |
|
|
Text Classification (SP)
|
35% |
60
587.7 IPS |
|
|
Text Classification (HP)
|
35% |
49
447.7 IPS |
|
|
Text Classification (Q)
|
33% |
38
426.4 IPS |
|
|
Machine Translation (SP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (Q)
|
48% |
414
15.9 IPS |
