samsung SM-F966B
Geekbench AI Score
2590
Single Precision Score
2528
Half Precision Score
4063
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | teknoseyir |
| Upload Date | September 18 2025 04:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F966B |
| Model ID | samsung SM-F966B |
| 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% |
2176
404.6 IPS |
|
|
Image Classification (HP)
|
100% |
2048
381.0 IPS |
|
|
Image Classification (Q)
|
100% |
4245
789.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2514
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2467
40.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4970
80.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5277
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
4327
5.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
9828
11.7 IPS |
|
|
Object Detection (SP)
|
98% |
1362
108.4 IPS |
|
|
Object Detection (HP)
|
98% |
1625
129.3 IPS |
|
|
Object Detection (Q)
|
83% |
3760
303.8 IPS |
|
|
Face Detection (SP)
|
100% |
4060
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
4084
48.5 IPS |
|
|
Face Detection (Q)
|
95% |
7873
94.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4128
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4104
31.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
7068
64.7 IPS |
|
|
Style Transfer (SP)
|
89% |
10469
13.6 IPS |
|
|
Style Transfer (HP)
|
89% |
9338
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18010
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1773
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2029
74.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4784
177.3 IPS |
|
|
Text Classification (SP)
|
100% |
844
1.13 KIPS |
|
|
Text Classification (HP)
|
99% |
844
1.13 KIPS |
|
|
Text Classification (Q)
|
88% |
700
943.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1319
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1120
19.3 IPS |
|
|
Machine Translation (Q)
|
50% |
469
16.6 IPS |
