samsung SM-F966U1
Geekbench AI Score
1765
Single Precision Score
2702
Half Precision Score
2224
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | VenomF5 |
| Upload Date | October 01 2025 04:52 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1694
315.0 IPS |
|
|
Image Classification (HP)
|
100% |
2878
535.2 IPS |
|
|
Image Classification (Q)
|
100% |
2787
518.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3152
51.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5906
95.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4081
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11562
13.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
18146
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16023
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
982
77.9 IPS |
|
|
Object Detection (HP)
|
99% |
1266
100.4 IPS |
|
|
Object Detection (Q)
|
85% |
1236
99.5 IPS |
|
|
Face Detection (SP)
|
100% |
3683
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
6278
74.6 IPS |
|
|
Face Detection (Q)
|
97% |
6159
73.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3780
29.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
4202
32.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
3326
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8252
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17809
22.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20444
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2087
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3388
125.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2650
98.2 IPS |
|
|
Text Classification (SP)
|
35% |
38
369.2 IPS |
|
|
Text Classification (HP)
|
35% |
36
330.7 IPS |
|
|
Text Classification (Q)
|
33% |
31
341.6 IPS |
|
|
Machine Translation (SP)
|
100% |
534
9.20 IPS |
|
|
Machine Translation (HP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (Q)
|
48% |
383
14.7 IPS |
