samsung SM-F966W
Geekbench AI Score
2662
Single Precision Score
2557
Half Precision Score
4426
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 04 2025 11:23 PM |
| 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 | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2153
400.4 IPS |
|
|
Image Classification (HP)
|
100% |
2191
407.4 IPS |
|
|
Image Classification (Q)
|
100% |
4543
844.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2586
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2563
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5626
91.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4948
5.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
4786
5.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
11021
13.1 IPS |
|
|
Object Detection (SP)
|
98% |
1422
113.1 IPS |
|
|
Object Detection (HP)
|
98% |
1441
114.6 IPS |
|
|
Object Detection (Q)
|
83% |
3724
300.8 IPS |
|
|
Face Detection (SP)
|
100% |
4275
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
4349
51.7 IPS |
|
|
Face Detection (Q)
|
95% |
8838
105.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4556
35.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4458
34.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
7650
70.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9937
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9266
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19309
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1999
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2031
75.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5011
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
894
1.19 KIPS |
|
|
Text Classification (HP)
|
99% |
763
1.02 KIPS |
|
|
Text Classification (Q)
|
88% |
991
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1320
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1109
19.1 IPS |
|
|
Machine Translation (Q)
|
50% |
425
15.1 IPS |
