samsung SM-G965F
Geekbench ML Score
942
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| User | almaspite |
| Upload Date | March 28 2026 11:25 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | samsung SM-G965F |
| Model ID | samsung SM-G965F |
| Motherboard | exynos9810 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 2 revision 0 |
| Base Frequency | 1.79 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 4 Cores @ 2.70 GHz |
| Memory Information | |
|---|---|
| Size | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
632
67.7 IPS |
|
|
Image Classification (F16)
|
100% |
1028
110.1 IPS |
|
|
Image Classification (I8)
|
81% |
919
98.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1328
8.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
2931
18.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
2810
17.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
282
1.14 IPS |
|
|
Pose Estimation (F16)
|
0% |
1041
4.21 IPS |
|
|
Pose Estimation (I8)
|
0% |
1037
4.20 IPS |
|
|
Object Detection (F32)
|
100% |
474
16.6 IPS |
|
|
Object Detection (F16)
|
99% |
882
31.0 IPS |
|
|
Object Detection (I8)
|
54% |
839
29.4 IPS |
|
|
Face Detection (F32)
|
100% |
1208
13.9 IPS |
|
|
Face Detection (F16)
|
97% |
2296
26.4 IPS |
|
|
Face Detection (I8)
|
75% |
2001
23.0 IPS |
|
|
Text Classification (F32)
|
100% |
545
215.5 IPS |
|
|
Text Classification (F16)
|
98% |
853
337.4 IPS |
|
|
Machine Translation (F32)
|
100% |
425
65.4 IPS |
|
|
Machine Translation (F16)
|
100% |
424
65.4 IPS |
