Lenovo ThinkBook 16p Gen 5 LENOVO 21N5
Geekbench AI Score
4123
Single Precision Score
4219
Half Precision Score
11631
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | December 21 2024 11:53 PM |
| Views | 3 |
| Notes | Lenovo ThinkBook 16p Gen 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
1735
322.7 IPS |
|
|
Image Classification (HP)
|
100% |
1917
356.4 IPS |
|
|
Image Classification (Q)
|
100% |
6611
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2809
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2544
41.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6017
97.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7710
9.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
7624
8.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
24847
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
2180
172.9 IPS |
|
|
Object Detection (HP)
|
100% |
2283
181.1 IPS |
|
|
Object Detection (Q)
|
88% |
5968
478.4 IPS |
|
|
Face Detection (SP)
|
100% |
7978
94.8 IPS |
|
|
Face Detection (HP)
|
100% |
8423
100.1 IPS |
|
|
Face Detection (Q)
|
100% |
22356
265.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7290
56.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7308
56.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
25901
201.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20761
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21969
28.2 IPS |
|
|
Style Transfer (Q)
|
98% |
80385
103.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4041
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4282
158.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14948
553.6 IPS |
|
|
Text Classification (SP)
|
100% |
1404
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1443
1.93 KIPS |
|
|
Text Classification (Q)
|
92% |
4416
5.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2534
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2525
43.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2501
43.1 IPS |
