LENOVO 21KDS13A01
Geekbench AI Score
1943
Single Precision Score
4357
Half Precision Score
1511
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 11:53 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% |
686
127.7 IPS |
|
|
Image Classification (HP)
|
100% |
2914
542.0 IPS |
|
|
Image Classification (Q)
|
100% |
631
117.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
881
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4548
73.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
784
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7479
8.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
10753
12.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
6638
7.77 IPS |
|
|
Object Detection (SP)
|
100% |
708
56.2 IPS |
|
|
Object Detection (HP)
|
99% |
2853
226.9 IPS |
|
|
Object Detection (Q)
|
89% |
614
49.1 IPS |
|
|
Face Detection (SP)
|
100% |
1059
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
4752
56.5 IPS |
|
|
Face Detection (Q)
|
97% |
932
11.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3875
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12702
98.2 IPS |
|
|
Depth Estimation (Q)
|
73% |
3192
26.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21793
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
30764
39.5 IPS |
|
|
Style Transfer (Q)
|
98% |
17633
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3703
136.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5450
201.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2631
97.4 IPS |
|
|
Text Classification (SP)
|
86% |
693
937.0 IPS |
|
|
Text Classification (HP)
|
99% |
614
819.4 IPS |
|
|
Text Classification (Q)
|
83% |
491
668.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
977
16.8 IPS |
|
|
Machine Translation (Q)
|
60% |
457
10.2 IPS |
