Samsung Galaxy S25
Geekbench AI Score
2455
Single Precision Score
3862
Half Precision Score
3340
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 06 2025 09:26 PM |
| Views | 6 |
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-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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1612
299.7 IPS |
|
|
Image Classification (HP)
|
100% |
2908
540.7 IPS |
|
|
Image Classification (Q)
|
100% |
3302
614.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3260
52.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6398
103.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6072
98.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12648
14.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
20748
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
21253
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
1335
105.9 IPS |
|
|
Object Detection (HP)
|
99% |
1748
138.7 IPS |
|
|
Object Detection (Q)
|
85% |
1701
136.9 IPS |
|
|
Face Detection (SP)
|
100% |
4801
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8361
99.3 IPS |
|
|
Face Detection (Q)
|
97% |
7619
90.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6217
47.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
8140
62.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
6668
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15024
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33366
42.9 IPS |
|
|
Style Transfer (Q)
|
98% |
32369
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3229
119.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5261
194.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4831
179.1 IPS |
|
|
Text Classification (SP)
|
35% |
74
722.5 IPS |
|
|
Text Classification (HP)
|
35% |
65
594.1 IPS |
|
|
Text Classification (Q)
|
33% |
56
625.9 IPS |
|
|
Machine Translation (SP)
|
100% |
839
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1409
24.3 IPS |
|
|
Machine Translation (Q)
|
48% |
537
20.6 IPS |
