LG Electronics 14Z95U-GPV12KB
Geekbench AI Score
1609
Single Precision Score
916
Half Precision Score
4051
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 23 2026 05:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 5 435 w/ Radeon 840M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LG Electronics 14Z95U-GPV12KB |
| Motherboard | LG Electronics 14Z95U |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 5 435 w/ Radeon 840M |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 104 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1522
283.0 IPS |
|
|
Image Classification (HP)
|
100% |
493
91.6 IPS |
|
|
Image Classification (Q)
|
99% |
4200
783.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
680
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
465
7.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
3792
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2277
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
1918
2.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
8190
9.60 IPS |
|
|
Object Detection (SP)
|
100% |
1113
88.2 IPS |
|
|
Object Detection (HP)
|
100% |
432
34.3 IPS |
|
|
Object Detection (Q)
|
86% |
2851
229.1 IPS |
|
|
Face Detection (SP)
|
100% |
2878
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
987
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
5488
65.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3017
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1290
9.94 IPS |
|
|
Depth Estimation (Q)
|
78% |
7060
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5228
6.72 IPS |
|
|
Style Transfer (HP)
|
100% |
5279
6.79 IPS |
|
|
Style Transfer (Q)
|
98% |
14007
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
982
36.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
978
36.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2761
102.2 IPS |
|
|
Text Classification (SP)
|
100% |
1067
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
605
807.2 IPS |
|
|
Text Classification (Q)
|
97% |
1185
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
553
9.53 IPS |
|
|
Machine Translation (Q)
|
65% |
1805
36.3 IPS |
