samsung SM-G965F
Geekbench ML Score
396
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| User | almaspite |
| Upload Date | March 28 2026 11:37 AM |
| Views | 10 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
439
47.0 IPS |
|
|
Image Classification (F16)
|
100% |
461
49.4 IPS |
|
|
Image Classification (I8)
|
80% |
550
59.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
266
1.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
249
1.54 IPS |
|
|
Image Segmentation (I8)
|
89% |
1023
6.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
428
1.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
427
1.73 IPS |
|
|
Pose Estimation (I8)
|
80% |
283
1.15 IPS |
|
|
Object Detection (F32)
|
100% |
370
13.0 IPS |
|
|
Object Detection (F16)
|
100% |
448
15.7 IPS |
|
|
Object Detection (I8)
|
53% |
568
19.9 IPS |
|
|
Face Detection (F32)
|
100% |
562
6.45 IPS |
|
|
Face Detection (F16)
|
100% |
561
6.44 IPS |
|
|
Face Detection (I8)
|
75% |
969
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
108
42.5 IPS |
|
|
Text Classification (F16)
|
100% |
104
41.3 IPS |
|
|
Machine Translation (F32)
|
100% |
432
66.6 IPS |
|
|
Machine Translation (F16)
|
100% |
422
65.1 IPS |
