samsung SM-F966Z
Geekbench AI Score
2726
Single Precision Score
4281
Half Precision Score
3654
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | notakaos |
| Upload Date | August 05 2025 06:48 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F966Z |
| Model ID | samsung SM-F966Z |
| 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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1598
297.3 IPS |
|
|
Image Classification (HP)
|
100% |
2650
492.8 IPS |
|
|
Image Classification (Q)
|
100% |
2735
508.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3207
52.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6775
109.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5901
95.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13784
16.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
22409
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
22642
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
1469
116.5 IPS |
|
|
Object Detection (HP)
|
99% |
1923
152.6 IPS |
|
|
Object Detection (Q)
|
85% |
1902
153.1 IPS |
|
|
Face Detection (SP)
|
100% |
5187
61.6 IPS |
|
|
Face Detection (HP)
|
100% |
9557
113.6 IPS |
|
|
Face Detection (Q)
|
97% |
8440
100.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7069
54.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9559
73.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
7399
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16304
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35813
46.0 IPS |
|
|
Style Transfer (Q)
|
98% |
37413
48.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3724
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5486
202.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5509
204.2 IPS |
|
|
Text Classification (SP)
|
35% |
89
862.1 IPS |
|
|
Text Classification (HP)
|
35% |
88
803.3 IPS |
|
|
Text Classification (Q)
|
33% |
70
784.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1103
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1694
29.2 IPS |
|
|
Machine Translation (Q)
|
48% |
678
26.0 IPS |
