LENOVO 21KJ
Geekbench AI Score
2844
Single Precision Score
2840
Half Precision Score
4972
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | SyameimaruKoa |
| Upload Date | October 19 2024 06:02 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7530U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21KJ |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7530U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1889
351.2 IPS |
|
|
Image Classification (HP)
|
100% |
1884
350.3 IPS |
|
|
Image Classification (Q)
|
100% |
3456
642.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1719
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1862
30.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3302
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3878
4.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3659
4.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
7475
8.77 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (Q)
|
87% |
2927
234.7 IPS |
|
|
Face Detection (SP)
|
100% |
3682
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
3481
41.4 IPS |
|
|
Face Detection (Q)
|
97% |
9470
112.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4658
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4799
37.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
9294
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11329
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10893
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24203
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2247
83.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2260
83.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5083
188.3 IPS |
|
|
Text Classification (SP)
|
100% |
1518
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1513
2.02 KIPS |
|
|
Text Classification (Q)
|
91% |
1253
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2707
46.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2709
46.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2726
47.0 IPS |
