LENOVO 21KDS13A01
Geekbench AI Score
1911
Single Precision Score
4314
Half Precision Score
1508
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 12:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21KDS13A01 |
| Motherboard | LENOVO 21KDS13A01 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 165U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
676
125.8 IPS |
|
|
Image Classification (HP)
|
100% |
2883
536.2 IPS |
|
|
Image Classification (Q)
|
100% |
617
114.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
882
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4675
75.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
785
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7455
8.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
10401
12.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
6672
7.81 IPS |
|
|
Object Detection (SP)
|
100% |
690
54.8 IPS |
|
|
Object Detection (HP)
|
99% |
2730
217.1 IPS |
|
|
Object Detection (Q)
|
89% |
615
49.2 IPS |
|
|
Face Detection (SP)
|
100% |
1052
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
4718
56.1 IPS |
|
|
Face Detection (Q)
|
97% |
930
11.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3907
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12374
95.6 IPS |
|
|
Depth Estimation (Q)
|
73% |
3201
26.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21561
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
30887
39.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17692
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3510
129.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5169
190.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2629
97.4 IPS |
|
|
Text Classification (SP)
|
86% |
705
953.5 IPS |
|
|
Text Classification (HP)
|
99% |
641
856.1 IPS |
|
|
Text Classification (Q)
|
83% |
494
672.5 IPS |
|
|
Machine Translation (SP)
|
100% |
968
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
978
16.8 IPS |
|
|
Machine Translation (Q)
|
60% |
450
10.0 IPS |
