Samsung Galaxy S25
Geekbench AI Score
1856
Single Precision Score
2961
Half Precision Score
2549
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 02:19 PM |
| Views | 14 |
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% |
1194
222.1 IPS |
|
|
Image Classification (HP)
|
100% |
1811
336.8 IPS |
|
|
Image Classification (Q)
|
100% |
1962
364.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2500
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4643
75.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4059
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10794
12.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
16416
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16086
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
949
75.3 IPS |
|
|
Object Detection (HP)
|
99% |
1177
93.4 IPS |
|
|
Object Detection (Q)
|
85% |
1225
98.6 IPS |
|
|
Face Detection (SP)
|
100% |
3526
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
5982
71.1 IPS |
|
|
Face Detection (Q)
|
97% |
4916
58.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3854
29.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
5603
43.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
4334
42.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9426
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24949
32.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24652
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2550
94.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4443
164.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4330
160.5 IPS |
|
|
Text Classification (SP)
|
35% |
62
606.9 IPS |
|
|
Text Classification (HP)
|
35% |
64
583.4 IPS |
|
|
Text Classification (Q)
|
33% |
56
621.5 IPS |
|
|
Machine Translation (SP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (Q)
|
48% |
581
22.3 IPS |
