samsung SM-F966W
Geekbench AI Score
2829
Single Precision Score
4397
Half Precision Score
3722
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 04 2025 11:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1682
312.8 IPS |
|
|
Image Classification (HP)
|
100% |
2853
530.6 IPS |
|
|
Image Classification (Q)
|
100% |
2918
542.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3916
63.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5377
87.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5783
94.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13805
16.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
24869
29.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24432
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
1545
122.5 IPS |
|
|
Object Detection (HP)
|
99% |
2045
162.2 IPS |
|
|
Object Detection (Q)
|
85% |
1884
151.7 IPS |
|
|
Face Detection (SP)
|
100% |
5329
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
9521
113.1 IPS |
|
|
Face Detection (Q)
|
97% |
8370
99.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7131
54.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9554
73.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
7421
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17206
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38656
49.7 IPS |
|
|
Style Transfer (Q)
|
98% |
37015
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3670
135.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5592
206.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5648
209.3 IPS |
|
|
Text Classification (SP)
|
35% |
89
868.1 IPS |
|
|
Text Classification (HP)
|
35% |
90
817.0 IPS |
|
|
Text Classification (Q)
|
33% |
68
766.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1096
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1957
33.7 IPS |
|
|
Machine Translation (Q)
|
48% |
745
28.6 IPS |
