samsung SM-G975F
Geekbench AI Score
469
Single Precision Score
466
Half Precision Score
652
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 04:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-G975F |
| Model ID | samsung SM-G975F |
| Motherboard | exynos9820 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 3 revision 0 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 2 Cores @ 2.31 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
240
44.6 IPS |
|
|
Image Classification (HP)
|
100% |
213
39.6 IPS |
|
|
Image Classification (Q)
|
100% |
471
87.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
259
4.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
558
9.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
1024
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1031
1.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
926
1.10 IPS |
|
|
Object Detection (SP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.8 IPS |
|
|
Object Detection (Q)
|
83% |
444
35.8 IPS |
|
|
Face Detection (SP)
|
100% |
720
8.56 IPS |
|
|
Face Detection (HP)
|
100% |
695
8.25 IPS |
|
|
Face Detection (Q)
|
95% |
1246
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
893
6.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
883
6.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
780
7.14 IPS |
|
|
Style Transfer (SP)
|
89% |
1724
2.24 IPS |
|
|
Style Transfer (HP)
|
89% |
1719
2.23 IPS |
|
|
Style Transfer (Q)
|
98% |
2281
2.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
493
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
489
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
692
25.7 IPS |
|
|
Text Classification (SP)
|
100% |
221
295.1 IPS |
|
|
Text Classification (HP)
|
100% |
228
304.0 IPS |
|
|
Text Classification (Q)
|
88% |
386
520.1 IPS |
|
|
Machine Translation (SP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (HP)
|
100% |
363
6.25 IPS |
|
|
Machine Translation (Q)
|
50% |
220
7.82 IPS |
