LENOVO 10MUS0LB00
Geekbench AI Score
1568
Single Precision Score
665
Half Precision Score
1823
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | KD8UXA |
| Upload Date | January 01 2025 08:52 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E-2176M |
| 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 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.3 IPS |
|
|
Image Classification (HP)
|
100% |
249
46.3 IPS |
|
|
Image Classification (Q)
|
96% |
1916
357.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
326
5.28 IPS |
|
|
Image Segmentation (Q)
|
97% |
932
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2445
2.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2019
2.36 IPS |
|
|
Pose Estimation (Q)
|
86% |
4751
5.62 IPS |
|
|
Object Detection (SP)
|
100% |
904
71.7 IPS |
|
|
Object Detection (HP)
|
100% |
303
24.0 IPS |
|
|
Object Detection (Q)
|
58% |
1181
129.0 IPS |
|
|
Face Detection (SP)
|
100% |
2425
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
655
7.78 IPS |
|
|
Face Detection (Q)
|
96% |
3376
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3141
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
913
7.03 IPS |
|
|
Depth Estimation (Q)
|
78% |
3667
29.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5622
7.23 IPS |
|
|
Style Transfer (HP)
|
100% |
4486
5.77 IPS |
|
|
Style Transfer (Q)
|
87% |
8079
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1207
44.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
876
32.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1385
51.3 IPS |
|
|
Text Classification (SP)
|
100% |
833
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
396
528.1 IPS |
|
|
Text Classification (Q)
|
97% |
248
332.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
367
6.31 IPS |
|
|
Machine Translation (Q)
|
68% |
1184
22.9 IPS |
