samsung SM-F956W
Geekbench AI Score
2291
Single Precision Score
2306
Half Precision Score
3310
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 12:06 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1803
335.3 IPS |
|
|
Image Classification (HP)
|
100% |
2322
431.8 IPS |
|
|
Image Classification (Q)
|
100% |
2696
501.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2638
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2554
41.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4136
67.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4041
4.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3652
4.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
7802
9.25 IPS |
|
|
Object Detection (SP)
|
98% |
1545
123.0 IPS |
|
|
Object Detection (HP)
|
98% |
1701
135.4 IPS |
|
|
Object Detection (Q)
|
83% |
2217
179.1 IPS |
|
|
Face Detection (SP)
|
100% |
3379
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
3365
40.0 IPS |
|
|
Face Detection (Q)
|
95% |
5388
64.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3332
25.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3130
24.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5242
48.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7941
10.3 IPS |
|
|
Style Transfer (HP)
|
89% |
7464
9.69 IPS |
|
|
Style Transfer (Q)
|
98% |
14084
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1499
55.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1476
54.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3521
130.5 IPS |
|
|
Text Classification (SP)
|
100% |
657
877.0 IPS |
|
|
Text Classification (HP)
|
99% |
657
877.0 IPS |
|
|
Text Classification (Q)
|
88% |
916
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1526
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1514
26.1 IPS |
|
|
Machine Translation (Q)
|
50% |
639
22.7 IPS |
