LG 17Z990-R.AAS8U1 LG Electronics 17Z990-R.AAS8U1
Geekbench AI Score
661
Single Precision Score
324
Half Precision Score
938
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lmeyler |
| Upload Date | February 06 2025 11:06 AM |
| Views | 27 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8565U |
| 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% |
428
79.5 IPS |
|
|
Image Classification (HP)
|
100% |
158
29.3 IPS |
|
|
Image Classification (Q)
|
96% |
1024
191.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
334
5.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
187
3.03 IPS |
|
|
Image Segmentation (Q)
|
97% |
439
7.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
1036
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1014
1.18 IPS |
|
|
Pose Estimation (Q)
|
86% |
2143
2.53 IPS |
|
|
Object Detection (SP)
|
100% |
667
52.9 IPS |
|
|
Object Detection (HP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (Q)
|
58% |
827
90.3 IPS |
|
|
Face Detection (SP)
|
100% |
1265
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
483
5.74 IPS |
|
|
Face Detection (Q)
|
96% |
2336
27.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1775
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
487
3.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
1428
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3067
3.94 IPS |
|
|
Style Transfer (HP)
|
100% |
1346
1.73 IPS |
|
|
Style Transfer (Q)
|
87% |
2533
3.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
335
12.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
241
8.90 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
486
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
229
305.3 IPS |
|
|
Text Classification (HP)
|
100% |
118
157.8 IPS |
|
|
Text Classification (Q)
|
97% |
238
318.3 IPS |
|
|
Machine Translation (SP)
|
100% |
307
5.29 IPS |
|
|
Machine Translation (HP)
|
100% |
227
3.90 IPS |
|
|
Machine Translation (Q)
|
68% |
679
13.1 IPS |
