LENOVO 21L2S09C01
Geekbench AI Score
1970
Single Precision Score
536
Half Precision Score
2799
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 12:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165U |
| 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% |
1397
259.9 IPS |
|
|
Image Classification (HP)
|
100% |
129
24.0 IPS |
|
|
Image Classification (Q)
|
99% |
2492
464.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
923
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
197
3.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
2004
32.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3265
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2215
2.59 IPS |
|
|
Pose Estimation (Q)
|
95% |
13239
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1378
109.3 IPS |
|
|
Object Detection (HP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (Q)
|
88% |
1330
106.6 IPS |
|
|
Face Detection (SP)
|
100% |
2421
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
237
2.82 IPS |
|
|
Face Detection (Q)
|
97% |
3047
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3802
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
632
4.87 IPS |
|
|
Depth Estimation (Q)
|
76% |
5451
43.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7930
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5670
7.29 IPS |
|
|
Style Transfer (Q)
|
98% |
12241
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1456
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1061
39.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2331
86.3 IPS |
|
|
Text Classification (SP)
|
100% |
1231
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
545
727.0 IPS |
|
|
Text Classification (Q)
|
97% |
442
592.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1165
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
469
8.07 IPS |
|
|
Machine Translation (Q)
|
60% |
1607
35.9 IPS |
