LENOVO 10MUS0LB00
Geekbench ML Score
1244
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | KD8UXA |
| Upload Date | January 01 2025 09:29 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
731
136.8 IPS |
|
|
Image Classification (F16)
|
100% |
719
134.5 IPS |
|
|
Image Classification (I8)
|
97% |
1160
217.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
481
8.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
535
8.93 IPS |
|
|
Image Segmentation (I8)
|
97% |
700
11.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
2261
2.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
1820
2.20 IPS |
|
|
Pose Estimation (I8)
|
100% |
4611
5.58 IPS |
|
|
Object Detection (F32)
|
100% |
673
50.2 IPS |
|
|
Object Detection (F16)
|
100% |
625
46.6 IPS |
|
|
Object Detection (I8)
|
60% |
630
47.1 IPS |
|
|
Face Detection (F32)
|
100% |
1237
14.7 IPS |
|
|
Face Detection (F16)
|
100% |
1228
14.6 IPS |
|
|
Face Detection (I8)
|
87% |
1878
22.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2489
19.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2561
19.9 IPS |
|
|
Depth Estimation (I8)
|
74% |
4368
33.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4729
6.22 IPS |
|
|
Style Transfer (F16)
|
100% |
4771
6.28 IPS |
|
|
Style Transfer (I8)
|
85% |
7634
10.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1185
42.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1158
41.3 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1276
45.6 IPS |
|
|
Text Classification (F32)
|
100% |
570
818.8 IPS |
|
|
Text Classification (F16)
|
100% |
602
864.7 IPS |
|
|
Text Classification (I8)
|
94% |
174
250.8 IPS |
|
|
Machine Translation (F32)
|
100% |
907
16.7 IPS |
|
|
Machine Translation (F16)
|
100% |
918
16.9 IPS |
|
|
Machine Translation (I8)
|
67% |
1077
19.8 IPS |
