samsung SM-F956U1
Geekbench AI Score
360
Single Precision Score
15883
Half Precision Score
38074
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | K4ZT13L |
| Upload Date | November 02 2024 03:13 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-F956U1 |
| Model ID | samsung SM-F956U1 |
| 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% |
316
58.7 IPS |
|
|
Image Classification (HP)
|
100% |
17632
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
43422
8.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
374
6.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
10943
177.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
29320
476.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
464
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
99838
116.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
393675
460.8 IPS |
|
|
Object Detection (SP)
|
100% |
175
13.8 IPS |
|
|
Object Detection (HP)
|
100% |
15458
1.23 KIPS |
|
|
Object Detection (Q)
|
86% |
18190
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
478
5.68 IPS |
|
|
Face Detection (HP)
|
100% |
32193
382.5 IPS |
|
|
Face Detection (Q)
|
97% |
107654
1.28 KIPS |
|
|
Depth Estimation (SP)
|
100% |
431
3.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
61101
470.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
113331
1.06 KIPS |
|
|
Style Transfer (SP)
|
100% |
673
0.86 IPS |
|
|
Style Transfer (HP)
|
24% |
3840
116.2 IPS |
|
|
Style Transfer (Q)
|
98% |
303362
391.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
216
7.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44175
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
104910
3.89 KIPS |
|
|
Text Classification (SP)
|
100% |
287
382.7 IPS |
|
|
Text Classification (HP)
|
100% |
3078
4.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6673
8.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (HP)
|
100% |
3342
57.6 IPS |
|
|
Machine Translation (Q)
|
30% |
271
54.4 IPS |
