samsung SM-F956U1
Geekbench AI Score
2258
Single Precision Score
2229
Half Precision Score
3072
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | K4ZT13L |
| Upload Date | November 02 2024 02:55 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2061
383.3 IPS |
|
|
Image Classification (HP)
|
100% |
2343
435.7 IPS |
|
|
Image Classification (Q)
|
100% |
2840
528.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2653
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2507
40.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4185
68.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3981
4.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3524
4.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
5820
6.90 IPS |
|
|
Object Detection (SP)
|
98% |
1479
117.7 IPS |
|
|
Object Detection (HP)
|
98% |
1523
121.2 IPS |
|
|
Object Detection (Q)
|
83% |
1974
159.5 IPS |
|
|
Face Detection (SP)
|
100% |
3251
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (Q)
|
95% |
5142
61.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3243
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3239
25.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4300
39.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7506
9.74 IPS |
|
|
Style Transfer (HP)
|
89% |
7420
9.63 IPS |
|
|
Style Transfer (Q)
|
98% |
12743
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1486
54.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1487
54.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3097
114.8 IPS |
|
|
Text Classification (SP)
|
100% |
645
861.3 IPS |
|
|
Text Classification (HP)
|
99% |
602
804.1 IPS |
|
|
Text Classification (Q)
|
88% |
988
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1416
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1381
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
637
22.6 IPS |
