LG Electronics 16Z90SP-A.AD8BA1
Geekbench ML Score
2848
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 02:41 PM |
| Views | 5 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1365
255.5 IPS |
|
|
Image Classification (F16)
|
100% |
1406
263.1 IPS |
|
|
Image Classification (I8)
|
99% |
2480
464.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1394
23.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1338
22.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2122
35.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5524
6.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
5298
6.42 IPS |
|
|
Pose Estimation (I8)
|
100% |
19026
23.0 IPS |
|
|
Object Detection (F32)
|
100% |
1500
112.0 IPS |
|
|
Object Detection (F16)
|
100% |
1422
106.1 IPS |
|
|
Object Detection (I8)
|
62% |
1276
95.2 IPS |
|
|
Face Detection (F32)
|
100% |
3449
41.0 IPS |
|
|
Face Detection (F16)
|
100% |
3334
39.6 IPS |
|
|
Face Detection (I8)
|
89% |
3487
41.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5942
46.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5960
46.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
11304
87.7 IPS |
|
|
Style Transfer (F32)
|
100% |
12576
16.5 IPS |
|
|
Style Transfer (F16)
|
100% |
13184
17.3 IPS |
|
|
Style Transfer (I8)
|
98% |
18678
24.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2330
83.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2435
87.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3755
134.1 IPS |
|
|
Text Classification (F32)
|
100% |
989
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
923
1.33 KIPS |
|
|
Text Classification (I8)
|
98% |
349
501.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1425
26.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1420
26.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2228
41.0 IPS |
