samsung SM-F966W
Geekbench AI Score
2027
Single Precision Score
1842
Half Precision Score
2933
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 01:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F966W |
| Model ID | samsung SM-F966W |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1153
214.3 IPS |
|
|
Image Classification (HP)
|
100% |
1722
320.3 IPS |
|
|
Image Classification (Q)
|
100% |
2760
513.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3296
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3916
4.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2575
3.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
8405
9.97 IPS |
|
|
Object Detection (SP)
|
98% |
1169
93.0 IPS |
|
|
Object Detection (HP)
|
98% |
1182
94.1 IPS |
|
|
Object Detection (Q)
|
83% |
2748
222.0 IPS |
|
|
Face Detection (SP)
|
100% |
3390
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
3453
41.0 IPS |
|
|
Face Detection (Q)
|
95% |
6247
74.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3315
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3072
23.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5252
48.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7606
9.87 IPS |
|
|
Style Transfer (HP)
|
89% |
6612
8.58 IPS |
|
|
Style Transfer (Q)
|
98% |
12793
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1477
54.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1469
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3374
125.0 IPS |
|
|
Text Classification (SP)
|
100% |
698
931.1 IPS |
|
|
Text Classification (HP)
|
99% |
519
692.6 IPS |
|
|
Text Classification (Q)
|
88% |
445
600.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1177
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (Q)
|
50% |
357
12.7 IPS |
