LENOVO 21KDS13A01
Geekbench AI Score
1961
Single Precision Score
4334
Half Precision Score
1518
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 01:17 PM |
| Views | 1 |
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% |
712
132.5 IPS |
|
|
Image Classification (HP)
|
100% |
2840
528.2 IPS |
|
|
Image Classification (Q)
|
100% |
644
119.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
888
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4615
74.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
786
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7508
8.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
10617
12.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
6594
7.72 IPS |
|
|
Object Detection (SP)
|
100% |
706
56.0 IPS |
|
|
Object Detection (HP)
|
99% |
2804
223.0 IPS |
|
|
Object Detection (Q)
|
89% |
616
49.3 IPS |
|
|
Face Detection (SP)
|
100% |
1064
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
4787
56.9 IPS |
|
|
Face Detection (Q)
|
97% |
936
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3956
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12754
98.5 IPS |
|
|
Depth Estimation (Q)
|
73% |
3217
26.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22154
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31369
40.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17853
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3733
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5177
191.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2716
100.6 IPS |
|
|
Text Classification (SP)
|
86% |
688
930.3 IPS |
|
|
Text Classification (HP)
|
99% |
624
833.4 IPS |
|
|
Text Classification (Q)
|
83% |
474
644.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
970
16.7 IPS |
|
|
Machine Translation (Q)
|
60% |
459
10.2 IPS |
