samsung SM-G973F
Geekbench ML Score
245
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 19 2025 12:09 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-G973F |
| Model ID | samsung SM-G973F |
| 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 |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
136
14.6 IPS |
|
|
Image Classification (F16)
|
100% |
176
18.9 IPS |
|
|
Image Classification (I8)
|
81% |
159
17.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
340
2.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
325
2.01 IPS |
|
|
Image Segmentation (I8)
|
89% |
614
3.79 IPS |
|
|
Pose Estimation (F32)
|
100% |
161
0.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
153
0.62 IPS |
|
|
Pose Estimation (I8)
|
80% |
188
0.76 IPS |
|
|
Object Detection (F32)
|
100% |
145
5.10 IPS |
|
|
Object Detection (F16)
|
100% |
167
5.85 IPS |
|
|
Object Detection (I8)
|
52% |
232
8.13 IPS |
|
|
Face Detection (F32)
|
100% |
306
3.52 IPS |
|
|
Face Detection (F16)
|
100% |
316
3.63 IPS |
|
|
Face Detection (I8)
|
75% |
393
4.52 IPS |
|
|
Text Classification (F32)
|
100% |
186
73.4 IPS |
|
|
Text Classification (F16)
|
100% |
181
71.8 IPS |
|
|
Machine Translation (F32)
|
100% |
549
84.7 IPS |
|
|
Machine Translation (F16)
|
100% |
554
85.4 IPS |
