LG Electronics 15Z90ST-G.AD85A1
Geekbench AI Score
4562
Single Precision Score
7000
Half Precision Score
3302
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | adhsmith |
| Upload Date | March 03 2025 12:33 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LG Electronics 15Z90ST-G.AD85A1 |
| Motherboard | LG Electronics 15Z90ST |
| Power Plan | Balanced |
| 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% |
2312
430.0 IPS |
|
|
Image Classification (HP)
|
100% |
4017
747.0 IPS |
|
|
Image Classification (Q)
|
100% |
1933
359.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3062
49.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7033
114.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2540
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13923
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18951
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12102
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
2539
201.4 IPS |
|
|
Object Detection (HP)
|
99% |
4543
361.4 IPS |
|
|
Object Detection (Q)
|
86% |
2087
167.8 IPS |
|
|
Face Detection (SP)
|
100% |
4666
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
8966
106.5 IPS |
|
|
Face Detection (Q)
|
97% |
3564
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9557
73.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
19420
150.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
7657
61.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43471
55.9 IPS |
|
|
Style Transfer (HP)
|
100% |
65016
83.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31497
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7135
263.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10561
390.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3873
143.4 IPS |
|
|
Text Classification (SP)
|
86% |
660
892.6 IPS |
|
|
Text Classification (HP)
|
99% |
553
737.6 IPS |
|
|
Text Classification (Q)
|
84% |
432
586.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1712
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1758
30.3 IPS |
|
|
Machine Translation (Q)
|
70% |
865
16.2 IPS |
