Samsung Galaxy S25
Geekbench AI Score
494
Single Precision Score
26613
Half Precision Score
58741
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Q0AL |
| Upload Date | November 02 2025 06:43 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S25 |
| Model ID | samsung SM-S931U |
| 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% |
441
82.0 IPS |
|
|
Image Classification (HP)
|
100% |
20863
3.88 KIPS |
|
|
Image Classification (Q)
|
97% |
48952
9.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
445
7.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
13589
220.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
39899
648.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
490
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
123105
143.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
475899
557.0 IPS |
|
|
Object Detection (SP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (HP)
|
100% |
17863
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
20516
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
567
6.74 IPS |
|
|
Face Detection (HP)
|
100% |
37664
447.5 IPS |
|
|
Face Detection (Q)
|
97% |
119305
1.42 KIPS |
|
|
Depth Estimation (SP)
|
100% |
621
4.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
83146
640.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
137976
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
1055
1.36 IPS |
|
|
Style Transfer (HP)
|
98% |
98643
127.2 IPS |
|
|
Style Transfer (Q)
|
98% |
490431
632.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
291
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52570
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134201
4.97 KIPS |
|
|
Text Classification (SP)
|
100% |
428
571.5 IPS |
|
|
Text Classification (HP)
|
100% |
3892
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
7866
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4523
77.9 IPS |
|
|
Machine Translation (Q)
|
56% |
3010
77.5 IPS |
