LENOVO 10MUS0LB00
Geekbench AI Score
1595
Single Precision Score
2251
Half Precision Score
2161
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | KD8UXA |
| Upload Date | January 01 2025 09:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics P630 (iGPU) |
| 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% |
988
183.7 IPS |
|
|
Image Classification (HP)
|
100% |
1501
279.1 IPS |
|
|
Image Classification (Q)
|
100% |
1377
256.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1979
32.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2649
3.09 IPS |
|
|
Pose Estimation (HP)
|
99% |
2428
2.84 IPS |
|
|
Pose Estimation (Q)
|
97% |
3607
4.22 IPS |
|
|
Object Detection (SP)
|
100% |
987
78.3 IPS |
|
|
Object Detection (HP)
|
99% |
1553
123.5 IPS |
|
|
Object Detection (Q)
|
88% |
1452
116.4 IPS |
|
|
Face Detection (SP)
|
100% |
2917
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
4830
57.4 IPS |
|
|
Face Detection (Q)
|
97% |
4294
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3043
23.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5101
39.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
4614
35.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7377
9.48 IPS |
|
|
Style Transfer (HP)
|
100% |
9769
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8826
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1274
47.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2218
81.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2103
77.9 IPS |
|
|
Text Classification (SP)
|
71% |
550
795.4 IPS |
|
|
Text Classification (HP)
|
71% |
615
890.2 IPS |
|
|
Text Classification (Q)
|
92% |
498
668.9 IPS |
|
|
Machine Translation (SP)
|
100% |
653
11.2 IPS |
|
|
Machine Translation (HP)
|
97% |
847
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
852
14.7 IPS |
