LENOVO 21L2S09C01
Geekbench AI Score
2129
Single Precision Score
2130
Half Precision Score
6145
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 02:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
1387
258.0 IPS |
|
|
Image Classification (HP)
|
100% |
1262
234.7 IPS |
|
|
Image Classification (Q)
|
100% |
3938
732.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1810
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1689
27.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3506
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3002
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2928
3.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
10326
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1190
94.4 IPS |
|
|
Object Detection (HP)
|
100% |
1230
97.5 IPS |
|
|
Object Detection (Q)
|
88% |
3260
261.3 IPS |
|
|
Face Detection (SP)
|
100% |
3622
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
3827
45.5 IPS |
|
|
Face Detection (Q)
|
100% |
8605
102.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3398
26.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
3421
26.4 IPS |
|
|
Depth Estimation (Q)
|
80% |
10035
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8182
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8760
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
33322
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1685
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1788
66.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6441
238.5 IPS |
|
|
Text Classification (SP)
|
100% |
624
833.2 IPS |
|
|
Text Classification (HP)
|
100% |
633
845.2 IPS |
|
|
Text Classification (Q)
|
92% |
2689
3.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2015
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1937
33.4 IPS |
|
|
Machine Translation (Q)
|
85% |
3319
58.1 IPS |
