LG Electronics 16ZB90R-G.AA75G
Geekbench AI Score
2221
Single Precision Score
2085
Half Precision Score
5192
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | daromeer |
| Upload Date | May 07 2025 08:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-1360P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LG Electronics 16ZB90R-G.AA75G |
| Motherboard | LG Electronics 16ZB90R |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1360P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1291
240.2 IPS |
|
|
Image Classification (HP)
|
100% |
1275
237.1 IPS |
|
|
Image Classification (Q)
|
100% |
4159
773.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2189
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2231
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3971
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3514
4.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2806
3.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
8493
9.95 IPS |
|
|
Object Detection (SP)
|
100% |
1069
84.8 IPS |
|
|
Object Detection (HP)
|
100% |
1089
86.4 IPS |
|
|
Object Detection (Q)
|
88% |
3365
269.8 IPS |
|
|
Face Detection (SP)
|
100% |
3629
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
3640
43.3 IPS |
|
|
Face Detection (Q)
|
100% |
7780
92.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3441
26.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3267
25.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
8189
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8830
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7554
9.71 IPS |
|
|
Style Transfer (Q)
|
98% |
24224
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1374
50.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1397
51.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5446
201.7 IPS |
|
|
Text Classification (SP)
|
100% |
1163
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1214
1.62 KIPS |
|
|
Text Classification (Q)
|
92% |
3070
4.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1564
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1177
20.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1169
20.1 IPS |
