LENOVO 21N5
Geekbench AI Score
5206
Single Precision Score
1546
Half Precision Score
7756
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | KazamiKazuki |
| Upload Date | February 04 2025 07:58 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Insider Preview (64-bit) |
| Model | LENOVO 21N5 |
| Motherboard | LENOVO LNVNB161216 |
| 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% |
4123
766.8 IPS |
|
|
Image Classification (HP)
|
100% |
541
100.7 IPS |
|
|
Image Classification (Q)
|
99% |
6588
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1001
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3859
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10688
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4540
5.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
31013
36.4 IPS |
|
|
Object Detection (SP)
|
100% |
3854
305.7 IPS |
|
|
Object Detection (HP)
|
100% |
687
54.5 IPS |
|
|
Object Detection (Q)
|
86% |
7271
584.3 IPS |
|
|
Face Detection (SP)
|
100% |
10826
128.6 IPS |
|
|
Face Detection (HP)
|
100% |
1670
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
10577
126.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11844
91.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2008
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
17435
139.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23596
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11322
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26477
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3636
134.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2091
77.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5115
189.4 IPS |
|
|
Text Classification (SP)
|
100% |
1759
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
722
963.4 IPS |
|
|
Text Classification (Q)
|
97% |
1587
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2093
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3468
69.7 IPS |
