Samsung Galaxy S25+
Geekbench AI Score
2804
Single Precision Score
4063
Half Precision Score
5476
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Opastyler |
| Upload Date | March 04 2026 04:47 PM |
| Views | 6 |
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% |
1831
340.6 IPS |
|
|
Image Classification (HP)
|
100% |
2325
432.4 IPS |
|
|
Image Classification (Q)
|
99% |
4502
839.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2459
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3166
51.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5469
88.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5506
6.42 IPS |
|
|
Pose Estimation (HP)
|
92% |
11073
13.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
13831
16.2 IPS |
|
|
Object Detection (SP)
|
98% |
1624
129.2 IPS |
|
|
Object Detection (HP)
|
97% |
2316
184.3 IPS |
|
|
Object Detection (Q)
|
85% |
4094
329.8 IPS |
|
|
Face Detection (SP)
|
100% |
4453
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
7051
83.8 IPS |
|
|
Face Detection (Q)
|
97% |
10140
120.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4686
36.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8062
62.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
10666
98.4 IPS |
|
|
Style Transfer (SP)
|
89% |
11751
15.3 IPS |
|
|
Style Transfer (HP)
|
88% |
13582
17.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26379
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2450
90.5 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
4953
184.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6735
249.5 IPS |
|
|
Text Classification (SP)
|
100% |
910
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1149
1.53 KIPS |
|
|
Text Classification (Q)
|
93% |
1121
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1366
23.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1480
25.6 IPS |
|
|
Machine Translation (Q)
|
55% |
808
21.7 IPS |
