Lenovo ThinkBook 16p Gen 5 LENOVO 21N5
Geekbench AI Score
14999
Single Precision Score
26089
Half Precision Score
11574
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | December 21 2024 11:50 PM |
| Views | 12 |
| Notes | Lenovo ThinkBook 16p Gen 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| 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% |
5857
1.09 KIPS |
|
|
Image Classification (HP)
|
99% |
10418
1.94 KIPS |
|
|
Image Classification (Q)
|
100% |
5212
969.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
10378
168.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14016
227.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9680
157.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
78695
91.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
226922
264.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
75067
87.9 IPS |
|
|
Object Detection (SP)
|
100% |
7157
567.7 IPS |
|
|
Object Detection (HP)
|
100% |
14395
1.14 KIPS |
|
|
Object Detection (Q)
|
89% |
5986
479.2 IPS |
|
|
Face Detection (SP)
|
100% |
16028
190.4 IPS |
|
|
Face Detection (HP)
|
100% |
24456
290.6 IPS |
|
|
Face Detection (Q)
|
97% |
14134
168.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
33062
254.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
67897
523.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
29794
239.4 IPS |
|
|
Style Transfer (SP)
|
100% |
136541
175.5 IPS |
|
|
Style Transfer (HP)
|
100% |
341197
438.6 IPS |
|
|
Style Transfer (Q)
|
98% |
124107
160.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24959
921.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39386
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17790
658.7 IPS |
|
|
Text Classification (SP)
|
100% |
3069
4.10 KIPS |
|
|
Text Classification (HP)
|
99% |
4115
5.49 KIPS |
|
|
Text Classification (Q)
|
97% |
1672
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3038
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3336
57.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1224
27.3 IPS |
