Samsung Galaxy S25
Geekbench AI Score
491
Single Precision Score
26998
Half Precision Score
60160
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 23 2025 10:14 AM |
| Views | 6 |
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-S931N |
| 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% |
385
71.5 IPS |
|
|
Image Classification (HP)
|
100% |
20892
3.89 KIPS |
|
|
Image Classification (Q)
|
97% |
50107
9.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
320
5.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
13390
217.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
40646
660.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
498
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
123418
144.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
476163
557.3 IPS |
|
|
Object Detection (SP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (HP)
|
100% |
19090
1.51 KIPS |
|
|
Object Detection (Q)
|
85% |
22052
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
809
9.61 IPS |
|
|
Face Detection (HP)
|
100% |
40243
478.2 IPS |
|
|
Face Detection (Q)
|
97% |
131727
1.57 KIPS |
|
|
Depth Estimation (SP)
|
100% |
609
4.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
83563
643.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
143093
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
1070
1.38 IPS |
|
|
Style Transfer (HP)
|
98% |
98326
126.8 IPS |
|
|
Style Transfer (Q)
|
98% |
489456
631.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53668
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135273
5.01 KIPS |
|
|
Text Classification (SP)
|
100% |
460
614.0 IPS |
|
|
Text Classification (HP)
|
100% |
3919
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
8080
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4489
77.3 IPS |
|
|
Machine Translation (Q)
|
56% |
2880
74.2 IPS |
