samsung SM-G960F
Geekbench AI Score
231
Single Precision Score
234
Half Precision Score
136
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 21 2025 08:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-G960F |
| Model ID | samsung SM-G960F |
| 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 | 3.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
136
25.2 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.2 IPS |
|
|
Image Classification (Q)
|
99% |
85
15.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
184
2.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
189
3.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
102
1.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
270
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
264
0.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
176
0.21 IPS |
|
|
Object Detection (SP)
|
100% |
138
11.0 IPS |
|
|
Object Detection (HP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (Q)
|
87% |
84
6.71 IPS |
|
|
Face Detection (SP)
|
100% |
332
3.95 IPS |
|
|
Face Detection (HP)
|
100% |
345
4.10 IPS |
|
|
Face Detection (Q)
|
97% |
185
2.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
303
2.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
305
2.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
179
1.62 IPS |
|
|
Style Transfer (SP)
|
100% |
517
0.66 IPS |
|
|
Style Transfer (HP)
|
100% |
514
0.66 IPS |
|
|
Style Transfer (Q)
|
98% |
459
0.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
154
5.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
154
5.70 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
105
3.91 IPS |
|
|
Text Classification (SP)
|
100% |
192
255.8 IPS |
|
|
Text Classification (HP)
|
100% |
193
258.0 IPS |
|
|
Text Classification (Q)
|
91% |
102
137.0 IPS |
|
|
Machine Translation (SP)
|
100% |
312
5.38 IPS |
|
|
Machine Translation (HP)
|
100% |
314
5.40 IPS |
|
|
Machine Translation (Q)
|
57% |
105
2.56 IPS |
