Samsung Galaxy Tab S8
Geekbench ML Score
487
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 11 2024 05:17 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy Tab S8 |
| Model ID | samsung SM-X700 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.13 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
234
43.7 IPS |
|
|
Image Classification (F16)
|
100% |
530
99.1 IPS |
|
|
Image Classification (I8)
|
97% |
454
85.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
583
9.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
913
15.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
845
14.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
487
0.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
691
0.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
682
0.83 IPS |
|
|
Object Detection (F32)
|
100% |
165
12.3 IPS |
|
|
Object Detection (F16)
|
100% |
248
18.5 IPS |
|
|
Object Detection (I8)
|
62% |
244
18.2 IPS |
|
|
Face Detection (F32)
|
100% |
777
9.24 IPS |
|
|
Face Detection (F16)
|
97% |
1210
14.4 IPS |
|
|
Face Detection (I8)
|
87% |
1076
12.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
523
4.06 IPS |
|
|
Depth Estimation (F16)
|
100% |
1131
8.77 IPS |
|
|
Depth Estimation (I8)
|
95% |
1165
9.04 IPS |
|
|
Style Transfer (F32)
|
100% |
1213
1.60 IPS |
|
|
Style Transfer (F16)
|
100% |
2591
3.41 IPS |
|
|
Style Transfer (I8)
|
98% |
2689
3.54 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
195
6.96 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
272
9.70 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
264
9.41 IPS |
|
|
Text Classification (F32)
|
100% |
134
192.0 IPS |
|
|
Text Classification (F16)
|
100% |
134
192.6 IPS |
|
|
Text Classification (I8)
|
92% |
243
349.8 IPS |
|
|
Machine Translation (F32)
|
100% |
262
4.82 IPS |
|
|
Machine Translation (F16)
|
100% |
263
4.84 IPS |
|
|
Machine Translation (I8)
|
64% |
308
5.66 IPS |
