Samsung Galaxy S25
Geekbench AI Score
464
Single Precision Score
447
Half Precision Score
912
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 20 2025 07:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
421
78.3 IPS |
|
|
Image Classification (HP)
|
100% |
416
77.4 IPS |
|
|
Image Classification (Q)
|
99% |
1067
199.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
315
5.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
520
8.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
530
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
468
0.55 IPS |
|
|
Pose Estimation (Q)
|
98% |
1682
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (HP)
|
100% |
259
20.5 IPS |
|
|
Object Detection (Q)
|
87% |
629
50.4 IPS |
|
|
Face Detection (SP)
|
100% |
691
8.21 IPS |
|
|
Face Detection (HP)
|
100% |
686
8.15 IPS |
|
|
Face Detection (Q)
|
97% |
1426
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
611
4.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
492
3.79 IPS |
|
|
Depth Estimation (Q)
|
64% |
1041
9.45 IPS |
|
|
Style Transfer (SP)
|
100% |
1013
1.30 IPS |
|
|
Style Transfer (HP)
|
100% |
900
1.16 IPS |
|
|
Style Transfer (Q)
|
98% |
2308
2.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
259
9.55 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1019
37.7 IPS |
|
|
Text Classification (SP)
|
100% |
319
426.0 IPS |
|
|
Text Classification (HP)
|
100% |
320
427.6 IPS |
|
|
Text Classification (Q)
|
91% |
567
762.6 IPS |
|
|
Machine Translation (SP)
|
100% |
723
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (Q)
|
57% |
344
8.41 IPS |
