LENOVO 21L2S09C01
Geekbench AI Score
1967
Single Precision Score
510
Half Precision Score
2702
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 12:40 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% |
1414
262.9 IPS |
|
|
Image Classification (HP)
|
100% |
132
24.6 IPS |
|
|
Image Classification (Q)
|
99% |
2364
441.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1006
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
220
3.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
2051
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3495
4.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2284
2.67 IPS |
|
|
Pose Estimation (Q)
|
95% |
12945
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1405
111.5 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (Q)
|
88% |
1243
99.7 IPS |
|
|
Face Detection (SP)
|
100% |
2238
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
215
2.55 IPS |
|
|
Face Detection (Q)
|
97% |
2919
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4092
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
594
4.57 IPS |
|
|
Depth Estimation (Q)
|
76% |
5466
44.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7539
9.69 IPS |
|
|
Style Transfer (HP)
|
100% |
4611
5.93 IPS |
|
|
Style Transfer (Q)
|
98% |
12839
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1455
53.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1010
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2712
100.4 IPS |
|
|
Text Classification (SP)
|
100% |
1137
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
471
628.1 IPS |
|
|
Text Classification (Q)
|
97% |
336
449.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1091
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
412
7.09 IPS |
|
|
Machine Translation (Q)
|
60% |
1429
31.9 IPS |
