samsung SM-F956W
Geekbench AI Score
2865
Single Precision Score
2855
Half Precision Score
4445
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 05:53 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F956W |
| Model ID | samsung SM-F956W |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2377
442.1 IPS |
|
|
Image Classification (HP)
|
100% |
2452
456.0 IPS |
|
|
Image Classification (Q)
|
100% |
3523
655.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2702
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2680
43.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4323
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4392
5.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
4213
4.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
9777
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
2061
164.0 IPS |
|
|
Object Detection (HP)
|
98% |
2294
182.5 IPS |
|
|
Object Detection (Q)
|
83% |
3545
286.4 IPS |
|
|
Face Detection (SP)
|
100% |
4451
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
4256
50.6 IPS |
|
|
Face Detection (Q)
|
95% |
7735
92.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4360
33.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4276
33.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
7353
67.3 IPS |
|
|
Style Transfer (SP)
|
89% |
10145
13.2 IPS |
|
|
Style Transfer (HP)
|
89% |
10148
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18999
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2016
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2029
74.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4725
175.1 IPS |
|
|
Text Classification (SP)
|
100% |
875
1.17 KIPS |
|
|
Text Classification (HP)
|
99% |
867
1.16 KIPS |
|
|
Text Classification (Q)
|
88% |
1296
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1850
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1746
30.1 IPS |
|
|
Machine Translation (Q)
|
50% |
863
30.6 IPS |
