LENOVO 21ML002ATX
Geekbench ML Score
1493
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 11:55 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21ML002ATX |
| Motherboard | LENOVO 21ML002ATX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 7 |
| L1 Data Cache | 48.0 KB x 7 |
| L2 Cache | 2.00 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) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
605
113.2 IPS |
|
|
Image Classification (F16)
|
100% |
612
114.6 IPS |
|
|
Image Classification (I8)
|
100% |
547
102.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
646
10.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
655
10.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
586
9.78 IPS |
|
|
Pose Estimation (F32)
|
100% |
5904
7.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
5914
7.16 IPS |
|
|
Pose Estimation (I8)
|
100% |
5223
6.33 IPS |
|
|
Object Detection (F32)
|
100% |
575
43.0 IPS |
|
|
Object Detection (F16)
|
100% |
581
43.4 IPS |
|
|
Object Detection (I8)
|
54% |
530
39.6 IPS |
|
|
Face Detection (F32)
|
100% |
630
7.49 IPS |
|
|
Face Detection (F16)
|
100% |
629
7.47 IPS |
|
|
Face Detection (I8)
|
89% |
560
6.65 IPS |
|
|
Depth Estimation (F32)
|
100% |
3427
26.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
3539
27.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
2905
22.5 IPS |
|
|
Style Transfer (F32)
|
100% |
18215
24.0 IPS |
|
|
Style Transfer (F16)
|
100% |
18337
24.1 IPS |
|
|
Style Transfer (I8)
|
98% |
14222
18.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3735
133.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3821
136.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2417
86.3 IPS |
|
|
Text Classification (F32)
|
90% |
664
954.2 IPS |
|
|
Text Classification (F16)
|
90% |
637
915.7 IPS |
|
|
Text Classification (I8)
|
90% |
445
639.2 IPS |
|
|
Machine Translation (F32)
|
100% |
896
16.5 IPS |
|
|
Machine Translation (F16)
|
100% |
929
17.1 IPS |
|
|
Machine Translation (I8)
|
70% |
518
9.54 IPS |
