Samsung Galaxy S25
Geekbench AI Score
459
Single Precision Score
26544
Half Precision Score
58160
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 07 2025 04:54 AM |
| Views | 11 |
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-S931U1 |
| 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% |
459
85.4 IPS |
|
|
Image Classification (HP)
|
100% |
21241
3.95 KIPS |
|
|
Image Classification (Q)
|
97% |
49457
9.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
578
9.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
13734
222.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
40943
665.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
482
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
123243
143.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
477235
558.6 IPS |
|
|
Object Detection (SP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (HP)
|
100% |
18486
1.47 KIPS |
|
|
Object Detection (Q)
|
85% |
20654
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
568
6.75 IPS |
|
|
Face Detection (HP)
|
100% |
38236
454.3 IPS |
|
|
Face Detection (Q)
|
97% |
120653
1.44 KIPS |
|
|
Depth Estimation (SP)
|
100% |
497
3.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
81373
626.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
136796
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
971
1.25 IPS |
|
|
Style Transfer (HP)
|
98% |
98326
126.8 IPS |
|
|
Style Transfer (Q)
|
98% |
488497
629.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
247
9.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51904
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
124621
4.62 KIPS |
|
|
Text Classification (SP)
|
100% |
315
421.1 IPS |
|
|
Text Classification (HP)
|
100% |
3872
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
7812
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
554
9.54 IPS |
|
|
Machine Translation (HP)
|
100% |
4250
73.2 IPS |
|
|
Machine Translation (Q)
|
56% |
2827
72.8 IPS |
