samsung SM-G970F
Geekbench AI Score
380
Single Precision Score
383
Half Precision Score
528
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 21 2025 06:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-G970F |
| Model ID | samsung SM-G970F |
| 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 | 5.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
176
32.8 IPS |
|
|
Image Classification (HP)
|
100% |
202
37.6 IPS |
|
|
Image Classification (Q)
|
100% |
473
88.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
445
7.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
1073
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1013
1.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
1009
1.20 IPS |
|
|
Object Detection (SP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (HP)
|
100% |
190
15.1 IPS |
|
|
Object Detection (Q)
|
83% |
430
34.7 IPS |
|
|
Face Detection (SP)
|
100% |
517
6.14 IPS |
|
|
Face Detection (HP)
|
100% |
562
6.68 IPS |
|
|
Face Detection (Q)
|
95% |
917
10.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
740
5.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
688
5.30 IPS |
|
|
Depth Estimation (Q)
|
64% |
754
6.91 IPS |
|
|
Style Transfer (SP)
|
89% |
1408
1.83 IPS |
|
|
Style Transfer (HP)
|
89% |
1401
1.82 IPS |
|
|
Style Transfer (Q)
|
98% |
1741
2.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
398
14.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
371
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
418
15.5 IPS |
|
|
Text Classification (SP)
|
100% |
164
218.8 IPS |
|
|
Text Classification (HP)
|
100% |
153
204.7 IPS |
|
|
Text Classification (Q)
|
88% |
251
339.0 IPS |
|
|
Machine Translation (SP)
|
100% |
269
4.63 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (Q)
|
50% |
148
5.25 IPS |
