LG Electronics 16U70R-N.APC7U1
Geekbench AI Score
1420
Single Precision Score
429
Half Precision Score
1755
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | greedus |
| Upload Date | August 23 2024 01:02 AM |
| Views | 29 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7730U |
| 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% |
948
176.3 IPS |
|
|
Image Classification (HP)
|
100% |
97
18.0 IPS |
|
|
Image Classification (Q)
|
97% |
1761
328.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
844
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
141
2.28 IPS |
|
|
Image Segmentation (Q)
|
97% |
1169
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2624
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2222
2.59 IPS |
|
|
Pose Estimation (Q)
|
87% |
6124
7.23 IPS |
|
|
Object Detection (SP)
|
100% |
951
75.4 IPS |
|
|
Object Detection (HP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (Q)
|
86% |
1316
105.8 IPS |
|
|
Face Detection (SP)
|
100% |
1430
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
178
2.12 IPS |
|
|
Face Detection (Q)
|
96% |
2070
24.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3077
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
595
4.58 IPS |
|
|
Depth Estimation (Q)
|
76% |
3152
25.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4961
6.38 IPS |
|
|
Style Transfer (HP)
|
100% |
4123
5.30 IPS |
|
|
Style Transfer (Q)
|
87% |
7560
9.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
973
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
837
30.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1479
54.8 IPS |
|
|
Text Classification (SP)
|
100% |
755
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
374
498.8 IPS |
|
|
Text Classification (Q)
|
97% |
249
333.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (Q)
|
60% |
921
20.5 IPS |
