Samsung Galaxy F62
Geekbench AI Score
505
Single Precision Score
502
Half Precision Score
666
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 07:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 9825 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy F62 |
| Model ID | samsung SM-E625F |
| Motherboard | exynos9825 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 3 revision 0 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 5.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
247
45.9 IPS |
|
|
Image Classification (HP)
|
100% |
250
46.5 IPS |
|
|
Image Classification (Q)
|
100% |
507
94.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
301
4.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
297
4.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
600
9.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
1181
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1143
1.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
932
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
217
17.3 IPS |
|
|
Object Detection (HP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (Q)
|
83% |
454
36.7 IPS |
|
|
Face Detection (SP)
|
100% |
714
8.49 IPS |
|
|
Face Detection (HP)
|
100% |
719
8.54 IPS |
|
|
Face Detection (Q)
|
95% |
1250
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
952
7.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
946
7.29 IPS |
|
|
Depth Estimation (Q)
|
64% |
999
9.15 IPS |
|
|
Style Transfer (SP)
|
89% |
1765
2.29 IPS |
|
|
Style Transfer (HP)
|
89% |
1763
2.29 IPS |
|
|
Style Transfer (Q)
|
98% |
2264
2.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
530
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
527
19.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
553
20.5 IPS |
|
|
Text Classification (SP)
|
100% |
224
298.9 IPS |
|
|
Text Classification (HP)
|
100% |
228
304.8 IPS |
|
|
Text Classification (Q)
|
88% |
367
495.0 IPS |
|
|
Machine Translation (SP)
|
100% |
398
6.86 IPS |
|
|
Machine Translation (HP)
|
100% |
385
6.63 IPS |
|
|
Machine Translation (Q)
|
50% |
234
8.31 IPS |
