samsung SM-F966U1
Geekbench AI Score
2651
Single Precision Score
2596
Half Precision Score
4499
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | VenomF5 |
| Upload Date | July 25 2025 12:28 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F966U1 |
| Model ID | samsung SM-F966U1 |
| 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 | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.6 IPS |
|
|
Image Classification (HP)
|
100% |
2137
397.4 IPS |
|
|
Image Classification (Q)
|
100% |
4522
840.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2469
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2524
40.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5099
82.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5294
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4197
4.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
12012
14.2 IPS |
|
|
Object Detection (SP)
|
98% |
1368
108.9 IPS |
|
|
Object Detection (HP)
|
98% |
1623
129.1 IPS |
|
|
Object Detection (Q)
|
83% |
3696
298.6 IPS |
|
|
Face Detection (SP)
|
100% |
4312
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
4356
51.8 IPS |
|
|
Face Detection (Q)
|
95% |
8780
104.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4537
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4315
33.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
8129
74.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9983
13.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9266
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19565
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1990
73.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2088
77.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5207
192.9 IPS |
|
|
Text Classification (SP)
|
100% |
899
1.20 KIPS |
|
|
Text Classification (HP)
|
99% |
925
1.23 KIPS |
|
|
Text Classification (Q)
|
88% |
965
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1325
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1126
19.4 IPS |
|
|
Machine Translation (Q)
|
50% |
474
16.8 IPS |
