samsung SM-G988U1
Geekbench ML Score
427
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 15 2023 08:06 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-G988U1 |
| Model ID | samsung SM-G988U1 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 10.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
381
40.9 IPS |
|
|
Image Classification (F16)
|
100% |
385
41.3 IPS |
|
|
Image Classification (I8)
|
81% |
198
21.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
636
3.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
650
4.02 IPS |
|
|
Image Segmentation (I8)
|
89% |
909
5.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
273
1.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
268
1.08 IPS |
|
|
Pose Estimation (I8)
|
80% |
246
1.00 IPS |
|
|
Object Detection (F32)
|
100% |
383
13.4 IPS |
|
|
Object Detection (F16)
|
100% |
356
12.5 IPS |
|
|
Object Detection (I8)
|
52% |
298
10.5 IPS |
|
|
Face Detection (F32)
|
100% |
619
7.11 IPS |
|
|
Face Detection (F16)
|
100% |
680
7.81 IPS |
|
|
Face Detection (I8)
|
75% |
580
6.67 IPS |
|
|
Text Classification (F32)
|
100% |
396
156.5 IPS |
|
|
Text Classification (F16)
|
100% |
391
154.5 IPS |
|
|
Machine Translation (F32)
|
100% |
566
87.2 IPS |
|
|
Machine Translation (F16)
|
100% |
565
87.0 IPS |
