Samsung Galaxy S25+
Geekbench AI Score
2677
Single Precision Score
2640
Half Precision Score
4835
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 17 2025 07:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S25+ |
| Model ID | samsung SM-S936B |
| 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% |
1579
293.7 IPS |
|
|
Image Classification (HP)
|
100% |
1605
298.4 IPS |
|
|
Image Classification (Q)
|
100% |
3642
677.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2042
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2059
33.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4811
78.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5128
5.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
5189
6.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
12316
14.6 IPS |
|
|
Object Detection (SP)
|
98% |
1686
134.2 IPS |
|
|
Object Detection (HP)
|
98% |
1682
133.8 IPS |
|
|
Object Detection (Q)
|
83% |
3871
312.7 IPS |
|
|
Face Detection (SP)
|
100% |
4380
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
4248
50.5 IPS |
|
|
Face Detection (Q)
|
95% |
9418
112.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4512
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4378
33.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
10224
93.6 IPS |
|
|
Style Transfer (SP)
|
89% |
11198
14.5 IPS |
|
|
Style Transfer (HP)
|
89% |
11152
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
24555
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2391
88.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2262
83.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6565
243.3 IPS |
|
|
Text Classification (SP)
|
100% |
952
1.27 KIPS |
|
|
Text Classification (HP)
|
99% |
945
1.26 KIPS |
|
|
Text Classification (Q)
|
88% |
1032
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1347
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (Q)
|
50% |
522
18.5 IPS |
