LG 17Z990-R.AAS8U1 LG Electronics 17Z990-R.AAS8U1
Geekbench AI Score
666
Single Precision Score
854
Half Precision Score
565
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lmeyler |
| Upload Date | February 06 2025 11:22 AM |
| Views | 32 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 620 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LG Electronics 17Z990-R.AAS8U1 |
| Motherboard | LG Electronics 17Z990 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8565U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 11 |
| Base Frequency | 1.99 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
238
44.3 IPS |
|
|
Image Classification (HP)
|
100% |
331
61.6 IPS |
|
|
Image Classification (Q)
|
100% |
241
44.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
503
8.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
609
9.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
440
7.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
1878
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3007
3.51 IPS |
|
|
Pose Estimation (Q)
|
97% |
1683
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (HP)
|
98% |
373
29.7 IPS |
|
|
Object Detection (Q)
|
86% |
255
20.5 IPS |
|
|
Face Detection (SP)
|
100% |
804
9.55 IPS |
|
|
Face Detection (HP)
|
100% |
946
11.2 IPS |
|
|
Face Detection (Q)
|
97% |
724
8.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
1201
9.25 IPS |
|
|
Depth Estimation (HP)
|
98% |
1562
12.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
1033
8.27 IPS |
|
|
Style Transfer (SP)
|
100% |
4940
6.35 IPS |
|
|
Style Transfer (HP)
|
100% |
7569
9.73 IPS |
|
|
Style Transfer (Q)
|
98% |
4355
5.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
895
33.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1261
46.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
722
26.7 IPS |
|
|
Text Classification (SP)
|
100% |
212
283.2 IPS |
|
|
Text Classification (HP)
|
100% |
218
291.5 IPS |
|
|
Text Classification (Q)
|
97% |
159
212.8 IPS |
|
|
Machine Translation (SP)
|
100% |
305
5.26 IPS |
|
|
Machine Translation (HP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (Q)
|
70% |
197
3.70 IPS |
