samsung SM-G975F
Geekbench AI Score
401
Single Precision Score
402
Half Precision Score
582
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 10:05 PM |
| Views | 1 |
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% |
177
33.0 IPS |
|
|
Image Classification (HP)
|
100% |
168
31.3 IPS |
|
|
Image Classification (Q)
|
100% |
402
74.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
217
3.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
445
7.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
925
1.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
935
1.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
1011
1.20 IPS |
|
|
Object Detection (SP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
157
12.5 IPS |
|
|
Object Detection (Q)
|
83% |
419
33.8 IPS |
|
|
Face Detection (SP)
|
100% |
620
7.36 IPS |
|
|
Face Detection (HP)
|
100% |
694
8.25 IPS |
|
|
Face Detection (Q)
|
95% |
1116
13.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
859
6.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
848
6.53 IPS |
|
|
Depth Estimation (Q)
|
64% |
847
7.76 IPS |
|
|
Style Transfer (SP)
|
89% |
1685
2.19 IPS |
|
|
Style Transfer (HP)
|
89% |
1693
2.20 IPS |
|
|
Style Transfer (Q)
|
98% |
2314
2.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
476
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
764
28.3 IPS |
|
|
Text Classification (SP)
|
100% |
176
234.9 IPS |
|
|
Text Classification (HP)
|
100% |
174
231.8 IPS |
|
|
Text Classification (Q)
|
88% |
243
327.2 IPS |
|
|
Machine Translation (SP)
|
100% |
266
4.58 IPS |
|
|
Machine Translation (HP)
|
100% |
261
4.49 IPS |
|
|
Machine Translation (Q)
|
50% |
147
5.22 IPS |
