LG Electronics 16Z90T-GP7PL
Geekbench AI Score
2781
Single Precision Score
1248
Half Precision Score
5552
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | eunu |
| Upload Date | October 22 2025 10:04 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LG Electronics 16Z90T-GP7PL |
| Motherboard | LG Electronics 16Z90T |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2031
377.8 IPS |
|
|
Image Classification (HP)
|
100% |
453
84.2 IPS |
|
|
Image Classification (Q)
|
99% |
5878
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
894
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7531
122.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4734
5.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3145
3.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
17352
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2046
162.3 IPS |
|
|
Object Detection (HP)
|
100% |
569
45.2 IPS |
|
|
Object Detection (Q)
|
86% |
4345
349.2 IPS |
|
|
Face Detection (SP)
|
100% |
6576
78.1 IPS |
|
|
Face Detection (HP)
|
100% |
1190
14.1 IPS |
|
|
Face Detection (Q)
|
97% |
6625
79.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4280
33.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1533
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
8757
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9035
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8544
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18602
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2089
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1773
65.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3422
126.7 IPS |
|
|
Text Classification (SP)
|
100% |
928
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
624
832.8 IPS |
|
|
Text Classification (Q)
|
97% |
1028
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1650
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2199
44.2 IPS |
