samsung SM-G975F
Geekbench AI Score
453
Single Precision Score
450
Half Precision Score
622
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 04 2025 09:26 AM |
| Views | 3 |
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% |
240
44.5 IPS |
|
|
Image Classification (HP)
|
100% |
238
44.2 IPS |
|
|
Image Classification (Q)
|
100% |
466
86.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
273
4.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
599
9.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
1030
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
989
1.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
873
1.04 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (Q)
|
83% |
419
33.8 IPS |
|
|
Face Detection (SP)
|
100% |
659
7.83 IPS |
|
|
Face Detection (HP)
|
100% |
659
7.83 IPS |
|
|
Face Detection (Q)
|
95% |
1186
14.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
783
6.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
765
5.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
953
8.73 IPS |
|
|
Style Transfer (SP)
|
89% |
1617
2.10 IPS |
|
|
Style Transfer (HP)
|
89% |
1585
2.06 IPS |
|
|
Style Transfer (Q)
|
98% |
2142
2.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
463
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
466
17.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
522
19.4 IPS |
|
|
Text Classification (SP)
|
100% |
200
267.3 IPS |
|
|
Text Classification (HP)
|
100% |
213
284.9 IPS |
|
|
Text Classification (Q)
|
88% |
335
452.1 IPS |
|
|
Machine Translation (SP)
|
100% |
347
5.98 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.81 IPS |
|
|
Machine Translation (Q)
|
50% |
201
7.12 IPS |
