LENOVO 21KFS0DM01
Geekbench AI Score
1938
Single Precision Score
4481
Half Precision Score
1520
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 11:17 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% |
685
127.3 IPS |
|
|
Image Classification (HP)
|
100% |
3026
562.7 IPS |
|
|
Image Classification (Q)
|
100% |
622
115.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
885
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4701
76.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
783
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7527
8.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
11277
13.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
6742
7.89 IPS |
|
|
Object Detection (SP)
|
100% |
695
55.2 IPS |
|
|
Object Detection (HP)
|
99% |
2873
228.5 IPS |
|
|
Object Detection (Q)
|
89% |
625
50.0 IPS |
|
|
Face Detection (SP)
|
100% |
1052
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
4755
56.5 IPS |
|
|
Face Detection (Q)
|
97% |
924
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3951
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12887
99.6 IPS |
|
|
Depth Estimation (Q)
|
73% |
3218
26.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21538
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32938
42.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17837
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3670
135.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5424
200.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2681
99.3 IPS |
|
|
Text Classification (SP)
|
86% |
700
946.5 IPS |
|
|
Text Classification (HP)
|
99% |
658
878.7 IPS |
|
|
Text Classification (Q)
|
83% |
497
676.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
984
17.0 IPS |
|
|
Machine Translation (Q)
|
60% |
454
10.1 IPS |
