Samsung Galaxy S25
Geekbench AI Score
2488
Single Precision Score
3690
Half Precision Score
3205
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 10 2025 08:39 PM |
| Views | 12 |
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-S9310 |
| 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% |
1861
346.1 IPS |
|
|
Image Classification (HP)
|
100% |
2452
455.9 IPS |
|
|
Image Classification (Q)
|
100% |
2503
465.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3149
51.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4747
76.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4896
79.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11740
13.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
21381
24.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
21864
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
1389
110.2 IPS |
|
|
Object Detection (HP)
|
99% |
1789
141.9 IPS |
|
|
Object Detection (Q)
|
85% |
1745
140.5 IPS |
|
|
Face Detection (SP)
|
100% |
4748
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
8555
101.6 IPS |
|
|
Face Detection (Q)
|
97% |
7706
91.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6257
48.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8431
65.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
6871
66.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14835
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32341
41.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30821
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3224
119.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4908
181.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4766
176.6 IPS |
|
|
Text Classification (SP)
|
35% |
75
732.2 IPS |
|
|
Text Classification (HP)
|
35% |
73
664.4 IPS |
|
|
Text Classification (Q)
|
33% |
61
683.5 IPS |
|
|
Machine Translation (SP)
|
100% |
895
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1261
21.7 IPS |
|
|
Machine Translation (Q)
|
48% |
517
19.9 IPS |
