LENOVO 10MUS0LB00
Geekbench ML Score
848
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | KD8UXA |
| Upload Date | January 01 2025 09:39 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 10MUS0LB00 |
| Motherboard | LENOVO 310B |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E-2176M |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics P630 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
362
67.7 IPS |
|
|
Image Classification (F16)
|
100% |
391
73.1 IPS |
|
|
Image Classification (I8)
|
100% |
358
67.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
546
9.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
562
9.39 IPS |
|
|
Image Segmentation (I8)
|
98% |
484
8.08 IPS |
|
|
Pose Estimation (F32)
|
100% |
2243
2.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
2252
2.73 IPS |
|
|
Pose Estimation (I8)
|
100% |
2059
2.49 IPS |
|
|
Object Detection (F32)
|
100% |
426
31.8 IPS |
|
|
Object Detection (F16)
|
100% |
431
32.2 IPS |
|
|
Object Detection (I8)
|
54% |
394
29.4 IPS |
|
|
Face Detection (F32)
|
100% |
809
9.62 IPS |
|
|
Face Detection (F16)
|
100% |
811
9.64 IPS |
|
|
Face Detection (I8)
|
89% |
674
8.02 IPS |
|
|
Depth Estimation (F32)
|
100% |
1676
13.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
1671
13.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
1494
11.6 IPS |
|
|
Style Transfer (F32)
|
100% |
5781
7.60 IPS |
|
|
Style Transfer (F16)
|
100% |
5800
7.63 IPS |
|
|
Style Transfer (I8)
|
98% |
5036
6.62 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1190
42.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1184
42.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
926
33.1 IPS |
|
|
Text Classification (F32)
|
100% |
443
637.0 IPS |
|
|
Text Classification (F16)
|
100% |
445
640.2 IPS |
|
|
Text Classification (I8)
|
98% |
253
364.0 IPS |
|
|
Machine Translation (F32)
|
100% |
460
8.47 IPS |
|
|
Machine Translation (F16)
|
100% |
448
8.25 IPS |
|
|
Machine Translation (I8)
|
70% |
300
5.52 IPS |
