LENOVO 21KDS13A01
Geekbench AI Score
1926
Single Precision Score
4339
Half Precision Score
1514
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:52 AM |
| 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% |
674
125.4 IPS |
|
|
Image Classification (HP)
|
100% |
2973
552.9 IPS |
|
|
Image Classification (Q)
|
100% |
636
118.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
881
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4565
74.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
787
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7471
8.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
10494
12.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
6654
7.79 IPS |
|
|
Object Detection (SP)
|
100% |
704
55.8 IPS |
|
|
Object Detection (HP)
|
99% |
2863
227.8 IPS |
|
|
Object Detection (Q)
|
89% |
617
49.3 IPS |
|
|
Face Detection (SP)
|
100% |
1061
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
4693
55.8 IPS |
|
|
Face Detection (Q)
|
97% |
922
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3921
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12323
95.2 IPS |
|
|
Depth Estimation (Q)
|
73% |
3166
25.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21853
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31261
40.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17705
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3516
129.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5078
187.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2621
97.1 IPS |
|
|
Text Classification (SP)
|
86% |
703
951.0 IPS |
|
|
Text Classification (HP)
|
99% |
653
871.8 IPS |
|
|
Text Classification (Q)
|
83% |
504
686.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
969
16.7 IPS |
|
|
Machine Translation (Q)
|
60% |
454
10.1 IPS |
