samsung SM-F946B
Geekbench ML Score
1073
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 20 2024 08:39 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-F946B |
| Model ID | samsung SM-F946B |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 10.87 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
661
123.6 IPS |
|
|
Image Classification (F16)
|
100% |
849
158.9 IPS |
|
|
Image Classification (I8)
|
99% |
807
151.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
946
15.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1016
17.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1006
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
967
1.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
1397
1.69 IPS |
|
|
Pose Estimation (I8)
|
100% |
1389
1.68 IPS |
|
|
Object Detection (F32)
|
100% |
355
26.5 IPS |
|
|
Object Detection (F16)
|
100% |
431
32.2 IPS |
|
|
Object Detection (I8)
|
62% |
409
30.5 IPS |
|
|
Face Detection (F32)
|
100% |
2299
27.3 IPS |
|
|
Face Detection (F16)
|
97% |
3109
37.0 IPS |
|
|
Face Detection (I8)
|
86% |
2349
27.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1504
11.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2900
22.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
2866
22.2 IPS |
|
|
Style Transfer (F32)
|
100% |
3782
4.97 IPS |
|
|
Style Transfer (F16)
|
100% |
8535
11.2 IPS |
|
|
Style Transfer (I8)
|
98% |
8506
11.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
465
16.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
391
14.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
388
13.8 IPS |
|
|
Text Classification (F32)
|
100% |
427
613.2 IPS |
|
|
Text Classification (F16)
|
100% |
435
625.9 IPS |
|
|
Text Classification (I8)
|
92% |
683
981.9 IPS |
|
|
Machine Translation (F32)
|
100% |
674
12.4 IPS |
|
|
Machine Translation (F16)
|
100% |
654
12.0 IPS |
|
|
Machine Translation (I8)
|
64% |
711
13.1 IPS |
