LENOVO 21G20025US
Geekbench AI Score
2873
Single Precision Score
1226
Half Precision Score
5372
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tacsignals |
| Upload Date | May 11 2025 11:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | LENOVO 21G20025US |
| Motherboard | LENOVO 21G20025US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2266
421.3 IPS |
|
|
Image Classification (HP)
|
100% |
489
91.0 IPS |
|
|
Image Classification (Q)
|
99% |
4968
926.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
805
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3050
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4486
5.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
3425
4.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
16802
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2098
166.4 IPS |
|
|
Object Detection (HP)
|
100% |
523
41.5 IPS |
|
|
Object Detection (Q)
|
86% |
4412
354.6 IPS |
|
|
Face Detection (SP)
|
100% |
5665
67.3 IPS |
|
|
Face Detection (HP)
|
100% |
1362
16.2 IPS |
|
|
Face Detection (Q)
|
97% |
7275
86.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5728
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1737
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
12302
98.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10806
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8016
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17198
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1987
73.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1533
56.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3203
118.6 IPS |
|
|
Text Classification (SP)
|
100% |
1074
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
562
749.7 IPS |
|
|
Text Classification (Q)
|
97% |
1528
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1721
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2367
47.6 IPS |
