LG Electronics 16Z90SP-A.AD75B
Geekbench AI Score
6232
Single Precision Score
11336
Half Precision Score
4543
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jmvioque |
| Upload Date | April 15 2025 01:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 4GB Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LG Electronics 16Z90SP-A.AD75B |
| Motherboard | LG Electronics 16Z90SP |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2766
514.4 IPS |
|
|
Image Classification (HP)
|
99% |
4705
877.5 IPS |
|
|
Image Classification (Q)
|
99% |
2339
436.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4051
65.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6057
98.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2975
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
26155
30.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
87982
102.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
22278
26.1 IPS |
|
|
Object Detection (SP)
|
100% |
3064
243.0 IPS |
|
|
Object Detection (HP)
|
100% |
5791
459.4 IPS |
|
|
Object Detection (Q)
|
84% |
2598
209.6 IPS |
|
|
Face Detection (SP)
|
100% |
6058
72.0 IPS |
|
|
Face Detection (HP)
|
100% |
10623
126.2 IPS |
|
|
Face Detection (Q)
|
97% |
5071
60.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15915
122.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
31228
241.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
11707
93.9 IPS |
|
|
Style Transfer (SP)
|
100% |
50787
65.3 IPS |
|
|
Style Transfer (HP)
|
100% |
131743
169.4 IPS |
|
|
Style Transfer (Q)
|
98% |
39833
51.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8808
325.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16418
606.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5768
213.6 IPS |
|
|
Text Classification (SP)
|
100% |
1234
1.65 KIPS |
|
|
Text Classification (HP)
|
99% |
1591
2.12 KIPS |
|
|
Text Classification (Q)
|
97% |
797
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1850
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2115
36.4 IPS |
|
|
Machine Translation (Q)
|
70% |
857
16.1 IPS |
