LG Electronics 16U70R-N.APC7U1
Geekbench AI Score
2445
Single Precision Score
3039
Half Precision Score
1754
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | greedus |
| Upload Date | August 23 2024 01:05 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon (TM) 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% |
971
180.6 IPS |
|
|
Image Classification (HP)
|
100% |
1304
242.5 IPS |
|
|
Image Classification (Q)
|
99% |
817
152.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1096
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1208
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
951
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7422
8.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
13286
15.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
6999
8.20 IPS |
|
|
Object Detection (SP)
|
100% |
1197
94.9 IPS |
|
|
Object Detection (HP)
|
100% |
1223
97.0 IPS |
|
|
Object Detection (Q)
|
89% |
951
76.2 IPS |
|
|
Face Detection (SP)
|
100% |
2345
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
2861
34.0 IPS |
|
|
Face Detection (Q)
|
97% |
1854
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5259
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7935
61.1 IPS |
|
|
Depth Estimation (Q)
|
72% |
4321
35.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16534
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24656
31.7 IPS |
|
|
Style Transfer (Q)
|
98% |
14084
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4007
147.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4984
184.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2098
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
969
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
741
989.4 IPS |
|
|
Text Classification (Q)
|
97% |
508
680.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (Q)
|
60% |
445
10.0 IPS |
