samsung SM-G973F
Geekbench ML Score
227
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | July 26 2024 12:43 AM |
| Views | 2 |
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% |
146
15.6 IPS |
|
|
Image Classification (F16)
|
100% |
127
13.6 IPS |
|
|
Image Classification (I8)
|
81% |
160
17.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
324
2.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
324
2.00 IPS |
|
|
Image Segmentation (I8)
|
89% |
595
3.67 IPS |
|
|
Pose Estimation (F32)
|
100% |
165
0.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
158
0.64 IPS |
|
|
Pose Estimation (I8)
|
80% |
181
0.73 IPS |
|
|
Object Detection (F32)
|
100% |
182
6.38 IPS |
|
|
Object Detection (F16)
|
100% |
181
6.37 IPS |
|
|
Object Detection (I8)
|
52% |
212
7.44 IPS |
|
|
Face Detection (F32)
|
100% |
254
2.92 IPS |
|
|
Face Detection (F16)
|
100% |
231
2.66 IPS |
|
|
Face Detection (I8)
|
75% |
312
3.59 IPS |
|
|
Text Classification (F32)
|
100% |
193
76.1 IPS |
|
|
Text Classification (F16)
|
100% |
205
81.1 IPS |
|
|
Machine Translation (F32)
|
100% |
364
56.1 IPS |
|
|
Machine Translation (F16)
|
100% |
370
57.1 IPS |
