LENOVO 30BFS1E000
Geekbench AI Score
2758
Single Precision Score
1059
Half Precision Score
3299
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 21 2025 01:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon W-2155 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 30BFS1E000 |
| Motherboard | LENOVO 1036 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2155 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.31 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1847
343.6 IPS |
|
|
Image Classification (HP)
|
100% |
255
47.4 IPS |
|
|
Image Classification (Q)
|
96% |
3890
726.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
897
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
525
8.51 IPS |
|
|
Image Segmentation (Q)
|
97% |
1609
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5530
6.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
4646
5.42 IPS |
|
|
Pose Estimation (Q)
|
86% |
12570
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1968
156.1 IPS |
|
|
Object Detection (HP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (Q)
|
58% |
2617
285.9 IPS |
|
|
Face Detection (SP)
|
100% |
2581
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
863
10.3 IPS |
|
|
Face Detection (Q)
|
96% |
5783
69.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8427
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1352
10.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
8722
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17778
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13123
16.9 IPS |
|
|
Style Transfer (Q)
|
87% |
10250
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2530
93.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2106
77.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2454
90.9 IPS |
|
|
Text Classification (SP)
|
100% |
1153
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
520
694.0 IPS |
|
|
Text Classification (Q)
|
97% |
341
457.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
420
7.23 IPS |
|
|
Machine Translation (Q)
|
68% |
1715
33.1 IPS |
