LENOVO 21L2S09C01
Geekbench AI Score
1937
Single Precision Score
887
Half Precision Score
1506
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 01:27 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 21L2S09C01 |
| Motherboard | LENOVO 21L2S09C01 |
| 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% |
679
126.2 IPS |
|
|
Image Classification (HP)
|
0% |
0
558.2 IPS |
|
|
Image Classification (Q)
|
100% |
617
114.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
862
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4725
76.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
767
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7614
8.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
12367
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
6729
7.88 IPS |
|
|
Object Detection (SP)
|
100% |
686
54.4 IPS |
|
|
Object Detection (HP)
|
0% |
0
219.9 IPS |
|
|
Object Detection (Q)
|
89% |
606
48.5 IPS |
|
|
Face Detection (SP)
|
100% |
1007
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
4790
56.9 IPS |
|
|
Face Detection (Q)
|
97% |
886
10.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3938
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12941
100.0 IPS |
|
|
Depth Estimation (Q)
|
73% |
3208
26.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21542
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32400
41.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17475
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3940
145.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5059
186.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2800
103.7 IPS |
|
|
Text Classification (SP)
|
86% |
717
969.9 IPS |
|
|
Text Classification (HP)
|
99% |
528
704.3 IPS |
|
|
Text Classification (Q)
|
83% |
495
674.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1011
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
970
16.7 IPS |
|
|
Machine Translation (Q)
|
60% |
453
10.1 IPS |
