LENOVO 21L2S09C01
Geekbench AI Score
5492
Single Precision Score
8299
Half Precision Score
12595
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 02:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3659
680.4 IPS |
|
|
Image Classification (HP)
|
100% |
5258
977.7 IPS |
|
|
Image Classification (Q)
|
100% |
6392
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3530
57.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7547
122.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10318
167.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12046
14.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
10926
12.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
34521
40.4 IPS |
|
|
Object Detection (SP)
|
100% |
3322
263.5 IPS |
|
|
Object Detection (HP)
|
100% |
5147
408.2 IPS |
|
|
Object Detection (Q)
|
88% |
7965
638.3 IPS |
|
|
Face Detection (SP)
|
100% |
7509
89.2 IPS |
|
|
Face Detection (HP)
|
100% |
14566
173.1 IPS |
|
|
Face Detection (Q)
|
100% |
22640
269.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11820
91.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
19935
154.0 IPS |
|
|
Depth Estimation (Q)
|
79% |
28370
225.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30811
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39643
51.0 IPS |
|
|
Style Transfer (Q)
|
98% |
84638
109.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5111
188.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9052
334.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14001
518.5 IPS |
|
|
Text Classification (SP)
|
71% |
1704
2.47 KIPS |
|
|
Text Classification (HP)
|
71% |
2355
3.41 KIPS |
|
|
Text Classification (Q)
|
92% |
2503
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2030
35.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2833
49.0 IPS |
|
|
Machine Translation (Q)
|
89% |
2908
50.6 IPS |
