samsung SM-F966Z
Geekbench AI Score
2617
Single Precision Score
2589
Half Precision Score
4311
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | notakaos |
| Upload Date | August 05 2025 06:46 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2040
379.3 IPS |
|
|
Image Classification (HP)
|
100% |
2172
403.9 IPS |
|
|
Image Classification (Q)
|
100% |
4635
861.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2560
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2421
39.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5074
82.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5317
6.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
4393
5.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
10938
13.0 IPS |
|
|
Object Detection (SP)
|
98% |
1324
105.3 IPS |
|
|
Object Detection (HP)
|
98% |
1551
123.4 IPS |
|
|
Object Detection (Q)
|
83% |
3676
296.9 IPS |
|
|
Face Detection (SP)
|
100% |
4344
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
4299
51.1 IPS |
|
|
Face Detection (Q)
|
95% |
8847
105.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4354
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4000
30.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
7533
69.0 IPS |
|
|
Style Transfer (SP)
|
89% |
10322
13.4 IPS |
|
|
Style Transfer (HP)
|
89% |
9323
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19752
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1904
70.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2294
84.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5034
186.5 IPS |
|
|
Text Classification (SP)
|
100% |
831
1.11 KIPS |
|
|
Text Classification (HP)
|
99% |
843
1.13 KIPS |
|
|
Text Classification (Q)
|
88% |
768
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1330
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (Q)
|
50% |
461
16.4 IPS |
