LENOVO 30A0A006LM
Geekbench AI Score
1155
Single Precision Score
614
Half Precision Score
1242
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | nachitron |
| Upload Date | May 26 2025 04:31 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E3-1281 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30A0A006LM |
| Motherboard | LENOVO SHARKBAY |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1281 v3 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
894
166.3 IPS |
|
|
Image Classification (HP)
|
100% |
254
47.3 IPS |
|
|
Image Classification (Q)
|
96% |
1103
206.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
494
8.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
371
6.01 IPS |
|
|
Image Segmentation (Q)
|
97% |
703
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1889
2.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1569
1.83 IPS |
|
|
Pose Estimation (Q)
|
86% |
2352
2.78 IPS |
|
|
Object Detection (SP)
|
100% |
832
66.0 IPS |
|
|
Object Detection (HP)
|
100% |
317
25.2 IPS |
|
|
Object Detection (Q)
|
58% |
737
80.6 IPS |
|
|
Face Detection (SP)
|
100% |
1568
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
664
7.89 IPS |
|
|
Face Detection (Q)
|
96% |
2392
28.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2074
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
841
6.48 IPS |
|
|
Depth Estimation (Q)
|
78% |
2585
20.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4315
5.55 IPS |
|
|
Style Transfer (HP)
|
100% |
3463
4.45 IPS |
|
|
Style Transfer (Q)
|
87% |
4659
6.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
836
30.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
672
24.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
841
31.2 IPS |
|
|
Text Classification (SP)
|
100% |
657
876.5 IPS |
|
|
Text Classification (HP)
|
100% |
350
466.6 IPS |
|
|
Text Classification (Q)
|
97% |
254
339.7 IPS |
|
|
Machine Translation (SP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
358
6.17 IPS |
|
|
Machine Translation (Q)
|
68% |
1064
20.6 IPS |
