LENOVO 20WK006ECD
Geekbench ML Score
2332
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 06:13 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 20WK006ECD |
| Motherboard | LENOVO 20WK006ECD |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
47% |
1412
264.2 IPS |
|
|
Image Classification (F16)
|
47% |
1405
262.9 IPS |
|
|
Image Classification (I8)
|
0% |
1064
199.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1446
24.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1415
23.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1121
18.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
9082
11.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
9219
11.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
6654
8.06 IPS |
|
|
Object Detection (F32)
|
2% |
1248
93.2 IPS |
|
|
Object Detection (F16)
|
2% |
1234
92.2 IPS |
|
|
Object Detection (I8)
|
1% |
979
73.1 IPS |
|
|
Face Detection (F32)
|
100% |
3240
38.5 IPS |
|
|
Face Detection (F16)
|
100% |
3232
38.4 IPS |
|
|
Face Detection (I8)
|
88% |
2132
25.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6248
48.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
6232
48.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
4705
36.5 IPS |
|
|
Style Transfer (F32)
|
100% |
18387
24.2 IPS |
|
|
Style Transfer (F16)
|
100% |
18413
24.2 IPS |
|
|
Style Transfer (I8)
|
98% |
13252
17.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2913
104.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2883
103.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1861
66.5 IPS |
|
|
Text Classification (F32)
|
100% |
750
1.08 KIPS |
|
|
Text Classification (F16)
|
100% |
739
1.06 KIPS |
|
|
Text Classification (I8)
|
98% |
410
589.8 IPS |
|
|
Machine Translation (F32)
|
100% |
906
16.7 IPS |
|
|
Machine Translation (F16)
|
100% |
911
16.8 IPS |
|
|
Machine Translation (I8)
|
70% |
493
9.07 IPS |
