LENOVO 21KFS0DM01
Geekbench AI Score
1948
Single Precision Score
4449
Half Precision Score
1516
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 11:09 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 21KFS0DM01 |
| Motherboard | LENOVO 21KFS0DM01 |
| 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% |
682
126.8 IPS |
|
|
Image Classification (HP)
|
100% |
2951
548.8 IPS |
|
|
Image Classification (Q)
|
100% |
628
116.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
887
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4645
75.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
785
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7530
8.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
11402
13.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
6700
7.84 IPS |
|
|
Object Detection (SP)
|
100% |
696
55.2 IPS |
|
|
Object Detection (HP)
|
99% |
2798
222.6 IPS |
|
|
Object Detection (Q)
|
89% |
616
49.3 IPS |
|
|
Face Detection (SP)
|
100% |
1066
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
4828
57.4 IPS |
|
|
Face Detection (Q)
|
97% |
931
11.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3919
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12856
99.3 IPS |
|
|
Depth Estimation (Q)
|
73% |
3166
25.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21596
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32681
42.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17770
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3763
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5460
201.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2683
99.4 IPS |
|
|
Text Classification (SP)
|
86% |
703
950.7 IPS |
|
|
Text Classification (HP)
|
99% |
654
873.5 IPS |
|
|
Text Classification (Q)
|
83% |
493
670.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1042
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
961
16.5 IPS |
|
|
Machine Translation (Q)
|
60% |
456
10.2 IPS |
