LENOVO 30B4
Geekbench AI Score
1876
Single Precision Score
844
Half Precision Score
2158
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 03:30 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-1650 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel Insider Preview (64-bit) |
| Model | LENOVO 30B4 |
| Motherboard | LENOVO 102F |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1650 v4 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1380
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
306
57.0 IPS |
|
|
Image Classification (Q)
|
96% |
1639
306.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
925
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
453
7.35 IPS |
|
|
Image Segmentation (Q)
|
97% |
2065
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2883
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2393
2.79 IPS |
|
|
Pose Estimation (Q)
|
86% |
3627
4.29 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
100% |
408
32.4 IPS |
|
|
Object Detection (Q)
|
58% |
1162
127.0 IPS |
|
|
Face Detection (SP)
|
100% |
3134
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
909
10.8 IPS |
|
|
Face Detection (Q)
|
96% |
3605
43.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3673
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1171
9.02 IPS |
|
|
Depth Estimation (Q)
|
78% |
4056
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6882
8.85 IPS |
|
|
Style Transfer (HP)
|
100% |
5214
6.70 IPS |
|
|
Style Transfer (Q)
|
87% |
6969
9.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1274
47.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1129
41.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1650
61.1 IPS |
|
|
Text Classification (SP)
|
100% |
914
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
468
625.2 IPS |
|
|
Text Classification (Q)
|
97% |
683
915.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1156
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.02 IPS |
|
|
Machine Translation (Q)
|
68% |
1343
25.9 IPS |
