samsung SM-G975F
Geekbench AI Score
432
Single Precision Score
424
Half Precision Score
611
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Ling098 |
| Upload Date | December 06 2024 11:34 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-G975F |
| Model ID | samsung SM-G975F |
| Motherboard | exynos9820 |
| 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 @ 2.31 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
237
44.1 IPS |
|
|
Image Classification (HP)
|
100% |
211
39.3 IPS |
|
|
Image Classification (Q)
|
100% |
423
78.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
245
3.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
245
3.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
525
8.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
934
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
928
1.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
849
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (HP)
|
100% |
183
14.5 IPS |
|
|
Object Detection (Q)
|
83% |
398
32.1 IPS |
|
|
Face Detection (SP)
|
100% |
624
7.42 IPS |
|
|
Face Detection (HP)
|
100% |
616
7.32 IPS |
|
|
Face Detection (Q)
|
95% |
1129
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
756
5.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
743
5.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
894
8.19 IPS |
|
|
Style Transfer (SP)
|
89% |
1518
1.97 IPS |
|
|
Style Transfer (HP)
|
89% |
1457
1.89 IPS |
|
|
Style Transfer (Q)
|
98% |
2047
2.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
441
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
487
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
898
33.3 IPS |
|
|
Text Classification (SP)
|
100% |
222
295.8 IPS |
|
|
Text Classification (HP)
|
100% |
213
283.8 IPS |
|
|
Text Classification (Q)
|
88% |
286
386.2 IPS |
|
|
Machine Translation (SP)
|
100% |
329
5.67 IPS |
|
|
Machine Translation (HP)
|
100% |
316
5.44 IPS |
|
|
Machine Translation (Q)
|
50% |
184
6.54 IPS |
