samsung SM-G975F
Geekbench AI Score
338
Single Precision Score
335
Half Precision Score
439
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 09 2025 05:29 AM |
| Views | 4 |
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% |
167
31.1 IPS |
|
|
Image Classification (HP)
|
100% |
146
27.2 IPS |
|
|
Image Classification (Q)
|
100% |
320
59.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
199
3.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
399
6.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
822
0.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
820
0.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
631
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
143
11.3 IPS |
|
|
Object Detection (HP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (Q)
|
83% |
297
24.0 IPS |
|
|
Face Detection (SP)
|
100% |
510
6.06 IPS |
|
|
Face Detection (HP)
|
100% |
485
5.77 IPS |
|
|
Face Detection (Q)
|
95% |
837
10.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
618
4.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
677
5.22 IPS |
|
|
Depth Estimation (Q)
|
64% |
698
6.39 IPS |
|
|
Style Transfer (SP)
|
89% |
1281
1.66 IPS |
|
|
Style Transfer (HP)
|
89% |
1267
1.64 IPS |
|
|
Style Transfer (Q)
|
98% |
1588
2.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
347
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
345
12.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
384
14.2 IPS |
|
|
Text Classification (SP)
|
100% |
144
192.8 IPS |
|
|
Text Classification (HP)
|
100% |
138
184.3 IPS |
|
|
Text Classification (Q)
|
88% |
229
309.5 IPS |
|
|
Machine Translation (SP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (Q)
|
50% |
139
4.95 IPS |
