LG Electronics 16Z90SP-A.AD8BA1
Geekbench ML Score
3013
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 02:46 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 | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1354
253.4 IPS |
|
|
Image Classification (F16)
|
100% |
1354
253.4 IPS |
|
|
Image Classification (I8)
|
100% |
1221
228.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1561
26.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1551
25.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1276
21.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
13883
16.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
13880
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
12342
14.9 IPS |
|
|
Object Detection (F32)
|
100% |
1209
90.3 IPS |
|
|
Object Detection (F16)
|
100% |
1211
90.4 IPS |
|
|
Object Detection (I8)
|
54% |
1120
83.6 IPS |
|
|
Face Detection (F32)
|
100% |
1348
16.0 IPS |
|
|
Face Detection (F16)
|
100% |
1368
16.3 IPS |
|
|
Face Detection (I8)
|
89% |
1231
14.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
7825
60.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7746
60.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
6556
50.8 IPS |
|
|
Style Transfer (F32)
|
100% |
41275
54.3 IPS |
|
|
Style Transfer (F16)
|
100% |
42087
55.4 IPS |
|
|
Style Transfer (I8)
|
98% |
32699
43.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7421
265.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7147
255.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4926
175.9 IPS |
|
|
Text Classification (F32)
|
90% |
742
1.07 KIPS |
|
|
Text Classification (F16)
|
90% |
749
1.08 KIPS |
|
|
Text Classification (I8)
|
90% |
550
790.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1545
28.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1546
28.5 IPS |
|
|
Machine Translation (I8)
|
70% |
895
16.5 IPS |
