samsung SM-G975F
Geekbench AI Score
695
Single Precision Score
1012
Half Precision Score
782
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 04:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
447
83.2 IPS |
|
|
Image Classification (HP)
|
100% |
548
101.9 IPS |
|
|
Image Classification (Q)
|
97% |
525
98.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
725
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1097
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1052
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3286
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
5819
6.79 IPS |
|
|
Pose Estimation (Q)
|
95% |
6129
7.18 IPS |
|
|
Object Detection (SP)
|
100% |
367
29.1 IPS |
|
|
Object Detection (HP)
|
99% |
648
51.4 IPS |
|
|
Object Detection (Q)
|
83% |
486
39.3 IPS |
|
|
Face Detection (SP)
|
100% |
1176
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
2469
29.3 IPS |
|
|
Face Detection (Q)
|
96% |
1642
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1694
13.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2914
22.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
2139
20.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4709
6.05 IPS |
|
|
Style Transfer (HP)
|
100% |
9514
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
9360
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
971
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1502
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1403
52.0 IPS |
|
|
Text Classification (SP)
|
35% |
22
204.4 IPS |
|
|
Text Classification (HP)
|
29% |
12
213.6 IPS |
|
|
Text Classification (Q)
|
29% |
12
211.4 IPS |
|
|
Machine Translation (SP)
|
100% |
337
5.81 IPS |
|
|
Machine Translation (HP)
|
100% |
404
6.96 IPS |
|
|
Machine Translation (Q)
|
43% |
95
5.51 IPS |
