LENOVO 21L2S09C01
Geekbench AI Score
2074
Single Precision Score
553
Half Precision Score
3070
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:22 AM |
| 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% |
1285
238.9 IPS |
|
|
Image Classification (HP)
|
100% |
132
24.5 IPS |
|
|
Image Classification (Q)
|
99% |
2506
467.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
890
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
203
3.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
2027
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3566
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2306
2.69 IPS |
|
|
Pose Estimation (Q)
|
95% |
13790
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
88% |
1399
112.1 IPS |
|
|
Face Detection (SP)
|
100% |
2519
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
242
2.87 IPS |
|
|
Face Detection (Q)
|
97% |
3290
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4290
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
685
5.28 IPS |
|
|
Depth Estimation (Q)
|
76% |
6262
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8875
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
5626
7.23 IPS |
|
|
Style Transfer (Q)
|
98% |
13967
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1610
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1079
39.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2927
108.4 IPS |
|
|
Text Classification (SP)
|
100% |
1336
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
525
700.2 IPS |
|
|
Text Classification (Q)
|
97% |
585
784.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1252
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
521
8.97 IPS |
|
|
Machine Translation (Q)
|
60% |
1544
34.4 IPS |
