LG Electronics 16Z90SP-A.AD8BA1
Geekbench ML Score
5982
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 02:43 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LG Electronics 16Z90SP-A.AD8BA1 |
| Motherboard | LG Electronics 16Z90SP |
| 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 |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 4GB Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2945
551.1 IPS |
|
|
Image Classification (F16)
|
100% |
2952
552.4 IPS |
|
|
Image Classification (I8)
|
100% |
2354
440.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
3968
66.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
3871
64.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3309
55.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
28773
34.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
28634
34.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
23071
27.9 IPS |
|
|
Object Detection (F32)
|
100% |
2838
211.9 IPS |
|
|
Object Detection (F16)
|
100% |
2879
214.9 IPS |
|
|
Object Detection (I8)
|
61% |
2476
184.8 IPS |
|
|
Face Detection (F32)
|
100% |
6099
72.5 IPS |
|
|
Face Detection (F16)
|
100% |
6160
73.2 IPS |
|
|
Face Detection (I8)
|
89% |
4734
56.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
14957
116.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
15641
121.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
11897
92.3 IPS |
|
|
Style Transfer (F32)
|
100% |
60495
79.6 IPS |
|
|
Style Transfer (F16)
|
100% |
59690
78.5 IPS |
|
|
Style Transfer (I8)
|
98% |
45640
60.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10701
382.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9683
345.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5892
210.4 IPS |
|
|
Text Classification (F32)
|
100% |
1413
2.03 KIPS |
|
|
Text Classification (F16)
|
100% |
1420
2.04 KIPS |
|
|
Text Classification (I8)
|
98% |
999
1.44 KIPS |
|
|
Machine Translation (F32)
|
100% |
2163
39.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2152
39.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1089
20.0 IPS |
