LENOVO 20YUCTO1WW
Geekbench AI Score
2523
Single Precision Score
1175
Half Precision Score
5930
Quantized Score
Geekbench AI 1.5.0 Corporate for Windows AVX2
Result Information
| Upload Date | September 11 2025 01:42 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon W-11955M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | LENOVO 20YUCTO1WW |
| Motherboard | LENOVO 20YUCTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-11955M |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1993
370.6 IPS |
|
|
Image Classification (HP)
|
100% |
480
89.3 IPS |
|
|
Image Classification (Q)
|
99% |
6302
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
708
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7017
114.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3484
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3025
3.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
13685
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1728
137.0 IPS |
|
|
Object Detection (HP)
|
100% |
527
41.8 IPS |
|
|
Object Detection (Q)
|
86% |
4843
389.3 IPS |
|
|
Face Detection (SP)
|
100% |
4133
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
1150
13.7 IPS |
|
|
Face Detection (Q)
|
97% |
6933
82.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4655
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1548
11.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
10950
87.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8773
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7945
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18641
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1709
63.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1475
54.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4395
162.7 IPS |
|
|
Text Classification (SP)
|
100% |
1355
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
696
928.8 IPS |
|
|
Text Classification (Q)
|
97% |
1141
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1687
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
643
11.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2586
52.0 IPS |
