LG Electronics 16Z95U-G.APV21KB
Geekbench AI Score
3564
Single Precision Score
1878
Half Precision Score
8122
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 23 2026 07:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 450 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LG Electronics 16Z95U-G.APV21KB |
| Motherboard | LG Electronics 16Z95U |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 450 w/ Radeon 860M |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2359
438.8 IPS |
|
|
Image Classification (HP)
|
100% |
633
117.7 IPS |
|
|
Image Classification (Q)
|
99% |
6412
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1087
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1024
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8408
136.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5090
5.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
4530
5.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
21584
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
2878
228.3 IPS |
|
|
Object Detection (HP)
|
100% |
987
78.3 IPS |
|
|
Object Detection (Q)
|
86% |
7250
582.7 IPS |
|
|
Face Detection (SP)
|
100% |
6009
71.4 IPS |
|
|
Face Detection (HP)
|
100% |
1907
22.7 IPS |
|
|
Face Detection (Q)
|
97% |
10276
122.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7468
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2962
22.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
16575
132.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13946
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12452
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
29084
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2677
98.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2359
87.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4989
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1094
1.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1843
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2290
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1042
17.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3252
65.3 IPS |
