LG Electronics 16Z90SP-A.AD75B
Geekbench AI Score
3171
Single Precision Score
6709
Half Precision Score
2463
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jmvioque |
| Upload Date | April 15 2025 02:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
1429
265.7 IPS |
|
|
Image Classification (HP)
|
100% |
3713
690.5 IPS |
|
|
Image Classification (Q)
|
100% |
1283
238.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6585
106.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1436
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13984
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20241
23.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12443
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1416
112.3 IPS |
|
|
Object Detection (HP)
|
99% |
4493
357.4 IPS |
|
|
Object Detection (Q)
|
86% |
1271
102.2 IPS |
|
|
Face Detection (SP)
|
100% |
1309
15.5 IPS |
|
|
Face Detection (HP)
|
100% |
8541
101.5 IPS |
|
|
Face Detection (Q)
|
97% |
1175
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5947
45.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
19534
151.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
5635
45.2 IPS |
|
|
Style Transfer (SP)
|
100% |
40939
52.6 IPS |
|
|
Style Transfer (HP)
|
100% |
71362
91.7 IPS |
|
|
Style Transfer (Q)
|
98% |
30026
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7442
274.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9262
342.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4740
175.5 IPS |
|
|
Text Classification (SP)
|
86% |
532
720.0 IPS |
|
|
Text Classification (HP)
|
99% |
407
542.6 IPS |
|
|
Text Classification (Q)
|
84% |
342
463.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2025
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1854
31.9 IPS |
|
|
Machine Translation (Q)
|
70% |
876
16.4 IPS |
