LENOVO 21CB0070US
Geekbench ML Score
2160
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 05:14 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21CB0070US |
| Motherboard | LENOVO 21CB0070US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1265U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 MB x 1 |
| L3 Cache | 12.0 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)
|
100% |
1094
204.7 IPS |
|
|
Image Classification (F16)
|
100% |
1090
204.0 IPS |
|
|
Image Classification (I8)
|
100% |
879
164.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1578
26.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1716
28.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1207
20.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
10565
12.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
10531
12.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
5213
6.31 IPS |
|
|
Object Detection (F32)
|
100% |
1214
90.6 IPS |
|
|
Object Detection (F16)
|
100% |
1196
89.3 IPS |
|
|
Object Detection (I8)
|
54% |
954
71.2 IPS |
|
|
Face Detection (F32)
|
100% |
2192
26.1 IPS |
|
|
Face Detection (F16)
|
100% |
2272
27.0 IPS |
|
|
Face Detection (I8)
|
89% |
1500
17.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5054
39.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5210
40.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
3699
28.7 IPS |
|
|
Style Transfer (F32)
|
100% |
21820
28.7 IPS |
|
|
Style Transfer (F16)
|
100% |
19276
25.4 IPS |
|
|
Style Transfer (I8)
|
98% |
13663
18.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3069
109.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3067
109.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1347
48.1 IPS |
|
|
Text Classification (F32)
|
100% |
697
1.00 KIPS |
|
|
Text Classification (F16)
|
100% |
655
941.3 IPS |
|
|
Text Classification (I8)
|
98% |
379
544.9 IPS |
|
|
Machine Translation (F32)
|
100% |
942
17.3 IPS |
|
|
Machine Translation (F16)
|
100% |
936
17.2 IPS |
|
|
Machine Translation (I8)
|
70% |
490
9.01 IPS |
