LENOVO 21KDS13A01
Geekbench AI Score
1943
Single Precision Score
4401
Half Precision Score
1515
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 01:09 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% |
686
127.6 IPS |
|
|
Image Classification (HP)
|
100% |
2975
553.2 IPS |
|
|
Image Classification (Q)
|
100% |
627
116.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4719
76.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
785
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7467
8.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
10498
12.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
6663
7.80 IPS |
|
|
Object Detection (SP)
|
100% |
691
54.8 IPS |
|
|
Object Detection (HP)
|
99% |
2802
222.9 IPS |
|
|
Object Detection (Q)
|
89% |
615
49.2 IPS |
|
|
Face Detection (SP)
|
100% |
1054
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
4676
55.6 IPS |
|
|
Face Detection (Q)
|
97% |
936
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3902
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12517
96.7 IPS |
|
|
Depth Estimation (Q)
|
73% |
3195
26.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21883
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31334
40.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17638
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3756
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5537
204.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2656
98.4 IPS |
|
|
Text Classification (SP)
|
86% |
696
941.4 IPS |
|
|
Text Classification (HP)
|
99% |
652
870.7 IPS |
|
|
Text Classification (Q)
|
83% |
492
669.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
999
17.2 IPS |
|
|
Machine Translation (Q)
|
60% |
459
10.2 IPS |
