LG Electronics 16T90SP-KD79K
Geekbench ML Score
2603
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2024 07:04 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LG Electronics 16T90SP-KD79K |
| Motherboard | LG Electronics 16T90SP |
| 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% |
1068
199.8 IPS |
|
|
Image Classification (F16)
|
100% |
1101
206.0 IPS |
|
|
Image Classification (I8)
|
100% |
1069
200.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1400
23.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1432
23.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1260
21.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
12914
15.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
12975
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
11442
13.9 IPS |
|
|
Object Detection (F32)
|
100% |
1044
77.9 IPS |
|
|
Object Detection (F16)
|
100% |
1062
79.3 IPS |
|
|
Object Detection (I8)
|
54% |
922
68.8 IPS |
|
|
Face Detection (F32)
|
100% |
1270
15.1 IPS |
|
|
Face Detection (F16)
|
100% |
1300
15.5 IPS |
|
|
Face Detection (I8)
|
89% |
1161
13.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6643
51.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
6686
51.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
5900
45.8 IPS |
|
|
Style Transfer (F32)
|
100% |
35277
46.4 IPS |
|
|
Style Transfer (F16)
|
100% |
37000
48.7 IPS |
|
|
Style Transfer (I8)
|
98% |
28511
37.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5804
207.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4812
171.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4160
148.6 IPS |
|
|
Text Classification (F32)
|
90% |
639
918.9 IPS |
|
|
Text Classification (F16)
|
90% |
597
858.0 IPS |
|
|
Text Classification (I8)
|
90% |
479
687.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1251
23.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1255
23.1 IPS |
|
|
Machine Translation (I8)
|
70% |
759
14.0 IPS |
