LG Electronics 16Z90SP-A.AP7BG
Geekbench AI Score
5735
Single Precision Score
9574
Half Precision Score
3884
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | NAGJOZ |
| Upload Date | October 10 2024 09:33 PM |
| Views | 5 |
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.AP7BG |
| Motherboard | LG Electronics 16Z90SP |
| Power Plan | Ausbalanciert |
| 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% |
2402
446.7 IPS |
|
|
Image Classification (HP)
|
99% |
4019
749.6 IPS |
|
|
Image Classification (Q)
|
100% |
1609
299.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3231
52.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4840
78.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2792
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27143
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
87035
101.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
23245
27.2 IPS |
|
|
Object Detection (SP)
|
100% |
2695
213.7 IPS |
|
|
Object Detection (HP)
|
100% |
4082
323.8 IPS |
|
|
Object Detection (Q)
|
89% |
1874
150.0 IPS |
|
|
Face Detection (SP)
|
100% |
5501
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
9101
108.1 IPS |
|
|
Face Detection (Q)
|
97% |
4285
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14508
111.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
28275
218.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
10419
84.0 IPS |
|
|
Style Transfer (SP)
|
100% |
51337
66.0 IPS |
|
|
Style Transfer (HP)
|
100% |
129764
166.8 IPS |
|
|
Style Transfer (Q)
|
98% |
39967
51.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8948
330.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15870
586.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5134
190.1 IPS |
|
|
Text Classification (SP)
|
100% |
1225
1.64 KIPS |
|
|
Text Classification (HP)
|
99% |
1148
1.53 KIPS |
|
|
Text Classification (Q)
|
97% |
717
960.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1510
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1540
26.5 IPS |
|
|
Machine Translation (Q)
|
60% |
608
13.6 IPS |
