samsung SM-F968U1
Geekbench AI Score
2718
Single Precision Score
4198
Half Precision Score
3609
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 09 2026 08:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F968U1 |
| Model ID | samsung SM-F968U1 |
| 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% |
1705
317.1 IPS |
|
|
Image Classification (HP)
|
100% |
3042
565.7 IPS |
|
|
Image Classification (Q)
|
100% |
2981
554.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3260
52.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5355
86.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4890
79.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13749
16.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
22181
25.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
22453
26.3 IPS |
|
|
Object Detection (SP)
|
100% |
1444
114.5 IPS |
|
|
Object Detection (HP)
|
99% |
1902
150.9 IPS |
|
|
Object Detection (Q)
|
85% |
1937
156.0 IPS |
|
|
Face Detection (SP)
|
100% |
5268
62.6 IPS |
|
|
Face Detection (HP)
|
100% |
9500
112.9 IPS |
|
|
Face Detection (Q)
|
97% |
8639
103.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7087
54.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9603
74.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
7415
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17248
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35316
45.4 IPS |
|
|
Style Transfer (Q)
|
98% |
36044
46.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3742
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5642
208.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5642
209.1 IPS |
|
|
Text Classification (SP)
|
35% |
80
783.3 IPS |
|
|
Text Classification (HP)
|
35% |
88
802.6 IPS |
|
|
Text Classification (Q)
|
33% |
74
828.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1035
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1547
26.6 IPS |
|
|
Machine Translation (Q)
|
48% |
614
23.5 IPS |
