LENOVO 21JK00HYJP
Geekbench AI Score
1090
Single Precision Score
542
Half Precision Score
2260
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 23 2025 09:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13420H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21JK00HYJP |
| Motherboard | LENOVO 21JK00HYJP |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13420H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
798
148.5 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (Q)
|
99% |
1868
348.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
518
8.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
366
5.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
1128
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1445
1.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1184
1.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
5495
6.44 IPS |
|
|
Object Detection (SP)
|
100% |
762
60.4 IPS |
|
|
Object Detection (HP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (Q)
|
86% |
2021
162.4 IPS |
|
|
Face Detection (SP)
|
100% |
2083
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
669
7.95 IPS |
|
|
Face Detection (Q)
|
97% |
3406
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2086
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
835
6.43 IPS |
|
|
Depth Estimation (Q)
|
78% |
4743
37.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3906
5.02 IPS |
|
|
Style Transfer (HP)
|
100% |
3043
3.91 IPS |
|
|
Style Transfer (Q)
|
98% |
8213
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
761
28.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
583
21.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1259
46.6 IPS |
|
|
Text Classification (SP)
|
100% |
584
780.0 IPS |
|
|
Text Classification (HP)
|
100% |
252
336.7 IPS |
|
|
Text Classification (Q)
|
97% |
684
916.6 IPS |
|
|
Machine Translation (SP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
325
5.60 IPS |
|
|
Machine Translation (Q)
|
65% |
1302
26.2 IPS |
