LENOVO 10MUS0LB00
Geekbench AI Score
1590
Single Precision Score
1571
Half Precision Score
2206
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | KD8UXA |
| Upload Date | January 01 2025 09:12 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) E-2176M CPU @ 2.70GHz |
| 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% |
882
163.9 IPS |
|
|
Image Classification (HP)
|
100% |
883
164.1 IPS |
|
|
Image Classification (Q)
|
100% |
1324
246.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1006
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1087
17.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1575
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2122
2.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2119
2.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
3855
4.52 IPS |
|
|
Object Detection (SP)
|
100% |
882
70.0 IPS |
|
|
Object Detection (HP)
|
100% |
851
67.5 IPS |
|
|
Object Detection (Q)
|
87% |
1418
113.7 IPS |
|
|
Face Detection (SP)
|
100% |
2166
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2093
24.9 IPS |
|
|
Face Detection (Q)
|
97% |
3934
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2468
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2466
19.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
3895
30.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6257
8.04 IPS |
|
|
Style Transfer (HP)
|
100% |
6141
7.89 IPS |
|
|
Style Transfer (Q)
|
98% |
10671
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1146
42.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1007
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1971
73.0 IPS |
|
|
Text Classification (SP)
|
100% |
1119
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1123
1.50 KIPS |
|
|
Text Classification (Q)
|
91% |
522
702.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1451
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1479
25.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1425
24.6 IPS |
