samsung SM-G975F
Geekbench AI Score
491
Single Precision Score
475
Half Precision Score
657
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 09:29 AM |
| Views | 1 |
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% |
249
46.3 IPS |
|
|
Image Classification (HP)
|
100% |
236
44.0 IPS |
|
|
Image Classification (Q)
|
100% |
498
92.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
279
4.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
284
4.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
556
9.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
1043
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
928
1.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
939
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
220
17.4 IPS |
|
|
Object Detection (HP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (Q)
|
83% |
431
34.8 IPS |
|
|
Face Detection (SP)
|
100% |
703
8.35 IPS |
|
|
Face Detection (HP)
|
100% |
712
8.46 IPS |
|
|
Face Detection (Q)
|
95% |
1285
15.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
931
7.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
920
7.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
1000
9.16 IPS |
|
|
Style Transfer (SP)
|
89% |
1750
2.27 IPS |
|
|
Style Transfer (HP)
|
89% |
1728
2.24 IPS |
|
|
Style Transfer (Q)
|
98% |
2427
3.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
531
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
525
19.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
554
20.5 IPS |
|
|
Text Classification (SP)
|
100% |
226
301.5 IPS |
|
|
Text Classification (HP)
|
100% |
211
281.6 IPS |
|
|
Text Classification (Q)
|
88% |
353
475.7 IPS |
|
|
Machine Translation (SP)
|
100% |
374
6.43 IPS |
|
|
Machine Translation (HP)
|
100% |
360
6.20 IPS |
|
|
Machine Translation (Q)
|
50% |
222
7.88 IPS |
