Samsung Galaxy S25
Geekbench AI Score
698
Single Precision Score
25677
Half Precision Score
58058
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 18 2025 08:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
432
80.3 IPS |
|
|
Image Classification (HP)
|
100% |
20912
3.89 KIPS |
|
|
Image Classification (Q)
|
97% |
49982
9.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
556
9.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
13742
222.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
42059
683.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
712
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
101889
118.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
434565
508.6 IPS |
|
|
Object Detection (SP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (HP)
|
100% |
18178
1.44 KIPS |
|
|
Object Detection (Q)
|
85% |
21255
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
1046
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
40458
480.7 IPS |
|
|
Face Detection (Q)
|
97% |
144486
1.72 KIPS |
|
|
Depth Estimation (SP)
|
100% |
904
6.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
71823
553.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
138907
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
1520
1.95 IPS |
|
|
Style Transfer (HP)
|
98% |
90677
116.9 IPS |
|
|
Style Transfer (Q)
|
98% |
408584
526.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
480
17.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53001
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
128866
4.78 KIPS |
|
|
Text Classification (SP)
|
100% |
568
758.6 IPS |
|
|
Text Classification (HP)
|
100% |
3748
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
7684
10.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
1013
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4472
77.0 IPS |
|
|
Machine Translation (Q)
|
56% |
2760
71.1 IPS |
