Samsung Galaxy S25
Geekbench AI Score
667
Single Precision Score
27461
Half Precision Score
61503
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | matus201 |
| Upload Date | September 20 2025 02:00 PM |
| Views | 9 |
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-S931W |
| 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% |
448
83.4 IPS |
|
|
Image Classification (HP)
|
100% |
21161
3.94 KIPS |
|
|
Image Classification (Q)
|
97% |
50185
9.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
573
9.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
13612
220.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
42292
687.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
735
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
124162
144.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
479899
561.7 IPS |
|
|
Object Detection (SP)
|
100% |
352
27.9 IPS |
|
|
Object Detection (HP)
|
100% |
19799
1.57 KIPS |
|
|
Object Detection (Q)
|
85% |
23347
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
1063
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
40963
486.7 IPS |
|
|
Face Detection (Q)
|
97% |
136718
1.63 KIPS |
|
|
Depth Estimation (SP)
|
100% |
934
7.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
82658
636.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
142159
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
1410
1.81 IPS |
|
|
Style Transfer (HP)
|
98% |
99033
127.7 IPS |
|
|
Style Transfer (Q)
|
98% |
492283
634.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
500
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55607
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135770
5.03 KIPS |
|
|
Text Classification (SP)
|
100% |
395
526.9 IPS |
|
|
Text Classification (HP)
|
100% |
3920
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
8059
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
952
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4713
81.2 IPS |
|
|
Machine Translation (Q)
|
56% |
3111
80.1 IPS |
