samsung SM-F956W
Geekbench AI Score
1989
Single Precision Score
2964
Half Precision Score
2509
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 12:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1161
216.0 IPS |
|
|
Image Classification (HP)
|
100% |
1831
340.5 IPS |
|
|
Image Classification (Q)
|
100% |
2263
420.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2473
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3883
63.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3998
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10893
12.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
19440
22.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
19271
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
1169
92.7 IPS |
|
|
Object Detection (HP)
|
99% |
1784
141.5 IPS |
|
|
Object Detection (Q)
|
87% |
1737
139.5 IPS |
|
|
Face Detection (SP)
|
100% |
4337
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
6570
78.1 IPS |
|
|
Face Detection (Q)
|
97% |
5466
65.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5695
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
8253
63.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
6384
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14105
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27690
35.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26926
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2808
103.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3937
145.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3611
133.8 IPS |
|
|
Text Classification (SP)
|
35% |
42
404.3 IPS |
|
|
Text Classification (HP)
|
35% |
56
512.5 IPS |
|
|
Text Classification (Q)
|
33% |
41
490.8 IPS |
|
|
Machine Translation (SP)
|
100% |
646
11.1 IPS |
|
|
Machine Translation (HP)
|
97% |
643
11.1 IPS |
|
|
Machine Translation (Q)
|
43% |
235
13.3 IPS |
