samsung SM-F956W
Geekbench AI Score
392
Single Precision Score
23268
Half Precision Score
57273
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 08:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
237
44.2 IPS |
|
|
Image Classification (HP)
|
100% |
17634
3.28 KIPS |
|
|
Image Classification (Q)
|
96% |
41891
7.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
290
4.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
10884
176.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
39780
646.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
411
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
101020
117.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
398212
466.1 IPS |
|
|
Object Detection (SP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
16506
1.31 KIPS |
|
|
Object Detection (Q)
|
86% |
25931
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
583
6.92 IPS |
|
|
Face Detection (HP)
|
100% |
33007
392.2 IPS |
|
|
Face Detection (Q)
|
97% |
114099
1.36 KIPS |
|
|
Depth Estimation (SP)
|
100% |
506
3.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
62966
485.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
144805
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
819
1.05 IPS |
|
|
Style Transfer (HP)
|
100% |
80068
102.9 IPS |
|
|
Style Transfer (Q)
|
98% |
414216
534.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
276
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43923
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103085
3.82 KIPS |
|
|
Text Classification (SP)
|
100% |
334
446.2 IPS |
|
|
Text Classification (HP)
|
100% |
3775
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
9919
13.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5269
90.8 IPS |
|
|
Machine Translation (Q)
|
55% |
3154
82.6 IPS |
