LENOVO 21KDS13A01
Geekbench AI Score
1952
Single Precision Score
4371
Half Precision Score
1498
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 10:17 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% |
714
132.8 IPS |
|
|
Image Classification (HP)
|
100% |
2948
548.3 IPS |
|
|
Image Classification (Q)
|
100% |
616
114.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
885
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4593
74.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
785
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7464
8.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
10793
12.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
6673
7.81 IPS |
|
|
Object Detection (SP)
|
100% |
697
55.3 IPS |
|
|
Object Detection (HP)
|
99% |
2702
214.9 IPS |
|
|
Object Detection (Q)
|
89% |
616
49.3 IPS |
|
|
Face Detection (SP)
|
100% |
1050
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
4788
56.9 IPS |
|
|
Face Detection (Q)
|
97% |
931
11.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3910
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12708
98.2 IPS |
|
|
Depth Estimation (Q)
|
73% |
3155
25.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21897
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31588
40.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17808
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3718
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5207
192.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2743
101.6 IPS |
|
|
Text Classification (SP)
|
86% |
727
983.2 IPS |
|
|
Text Classification (HP)
|
99% |
655
873.8 IPS |
|
|
Text Classification (Q)
|
83% |
425
578.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
984
17.0 IPS |
|
|
Machine Translation (Q)
|
60% |
471
10.5 IPS |
