LG Electronics 16U70R-N.APC7U1
Geekbench AI Score
1885
Single Precision Score
1894
Half Precision Score
3115
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | greedus |
| Upload Date | August 23 2024 01:08 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7730U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LG Electronics 16U70R-N.APC7U1 |
| Motherboard | LG Electronics 16U70R |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7730U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1183
220.0 IPS |
|
|
Image Classification (HP)
|
100% |
1153
214.5 IPS |
|
|
Image Classification (Q)
|
100% |
2045
380.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1181
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1242
20.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2043
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2253
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2260
2.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
5770
6.77 IPS |
|
|
Object Detection (SP)
|
100% |
1120
88.8 IPS |
|
|
Object Detection (HP)
|
100% |
1131
89.7 IPS |
|
|
Object Detection (Q)
|
87% |
2057
165.0 IPS |
|
|
Face Detection (SP)
|
100% |
2705
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
2617
31.1 IPS |
|
|
Face Detection (Q)
|
97% |
5824
69.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3944
30.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
3247
25.0 IPS |
|
|
Depth Estimation (Q)
|
79% |
6011
47.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7057
9.07 IPS |
|
|
Style Transfer (HP)
|
100% |
7735
9.94 IPS |
|
|
Style Transfer (Q)
|
98% |
15225
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1403
51.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1480
54.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3173
117.5 IPS |
|
|
Text Classification (SP)
|
100% |
822
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
837
1.12 KIPS |
|
|
Text Classification (Q)
|
91% |
697
936.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1854
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1995
34.4 IPS |
|
|
Machine Translation (Q)
|
90% |
1476
25.6 IPS |
