LENOVO 10MUS0LB00
Geekbench AI Score
971
Single Precision Score
1106
Half Precision Score
793
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | KD8UXA |
| Upload Date | January 01 2025 09:05 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics P630 |
| 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% |
406
75.6 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.8 IPS |
|
|
Image Classification (Q)
|
100% |
427
79.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
594
9.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
612
9.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
509
8.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
2352
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3736
4.36 IPS |
|
|
Pose Estimation (Q)
|
97% |
2144
2.51 IPS |
|
|
Object Detection (SP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (HP)
|
98% |
502
40.0 IPS |
|
|
Object Detection (Q)
|
86% |
443
35.6 IPS |
|
|
Face Detection (SP)
|
100% |
959
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
1110
13.2 IPS |
|
|
Face Detection (Q)
|
97% |
850
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1767
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2171
16.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
1531
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6018
7.74 IPS |
|
|
Style Transfer (HP)
|
100% |
8913
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
5187
6.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1191
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1665
61.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
928
34.4 IPS |
|
|
Text Classification (SP)
|
100% |
467
622.9 IPS |
|
|
Text Classification (HP)
|
100% |
306
408.5 IPS |
|
|
Text Classification (Q)
|
97% |
276
370.3 IPS |
|
|
Machine Translation (SP)
|
100% |
472
8.13 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (Q)
|
70% |
278
5.22 IPS |
