samsung SM-G715U1
Geekbench AI Score
124
Single Precision Score
175
Half Precision Score
166
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | xRoach |
| Upload Date | January 11 2025 11:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-G715U1 |
| Model ID | samsung SM-G715U1 |
| Motherboard | exynos9611 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 |
| Base Frequency | 1.74 GHz |
| Cluster 1 | 4 Cores @ 1.74 GHz |
| Cluster 2 | 4 Cores @ 2.31 GHz |
| Memory Information | |
|---|---|
| Size | 3.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
109
20.3 IPS |
|
|
Image Classification (HP)
|
100% |
172
31.9 IPS |
|
|
Image Classification (Q)
|
99% |
165
30.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
116
1.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
159
2.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
156
2.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
74
0.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
106
0.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
106
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
81
6.43 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (Q)
|
83% |
146
11.8 IPS |
|
|
Face Detection (SP)
|
100% |
345
4.10 IPS |
|
|
Face Detection (HP)
|
100% |
453
5.39 IPS |
|
|
Face Detection (Q)
|
97% |
426
5.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
164
1.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
244
1.88 IPS |
|
|
Depth Estimation (Q)
|
62% |
197
1.86 IPS |
|
|
Style Transfer (SP)
|
100% |
308
0.40 IPS |
|
|
Style Transfer (HP)
|
100% |
544
0.70 IPS |
|
|
Style Transfer (Q)
|
98% |
542
0.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
113
4.18 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
177
6.55 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
174
6.46 IPS |
|
|
Text Classification (SP)
|
100% |
58
77.7 IPS |
|
|
Text Classification (HP)
|
100% |
59
79.1 IPS |
|
|
Text Classification (Q)
|
91% |
79
106.6 IPS |
|
|
Machine Translation (SP)
|
100% |
104
1.78 IPS |
|
|
Machine Translation (HP)
|
100% |
101
1.74 IPS |
|
|
Machine Translation (Q)
|
57% |
64
1.56 IPS |
