Lenovo ThinkBook 16p Gen 5 LENOVO 21N5
Geekbench AI Score
3651
Single Precision Score
1307
Half Precision Score
5123
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | December 21 2024 11:47 PM |
| Views | 3 |
| Notes | Lenovo ThinkBook 16p Gen 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21N5 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1432
266.4 IPS |
|
|
Image Classification (HP)
|
100% |
407
75.6 IPS |
|
|
Image Classification (Q)
|
99% |
3556
663.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1813
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
852
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3488
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9560
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4089
4.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
28561
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
2358
187.0 IPS |
|
|
Object Detection (HP)
|
100% |
555
44.0 IPS |
|
|
Object Detection (Q)
|
88% |
2157
172.9 IPS |
|
|
Face Detection (SP)
|
100% |
4284
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
1435
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
4882
58.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8996
69.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1745
13.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
9325
74.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21393
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10156
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20328
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3210
118.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1879
69.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4854
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
1515
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
641
856.0 IPS |
|
|
Text Classification (Q)
|
97% |
1398
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1796
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2595
57.9 IPS |
