Lenovo ThinkBook 15 G2 ARE LENOVO 20VG
Geekbench AI Score
1520
Single Precision Score
788
Half Precision Score
1899
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | klcs1998 |
| Upload Date | October 17 2025 06:17 AM |
| Views | 7 |
| Notes | 16GB |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 4600U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20VG |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 4600U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1480
275.2 IPS |
|
|
Image Classification (HP)
|
100% |
337
62.8 IPS |
|
|
Image Classification (Q)
|
96% |
1892
353.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
482
7.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
479
7.76 IPS |
|
|
Image Segmentation (Q)
|
97% |
1690
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2791
3.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2416
2.82 IPS |
|
|
Pose Estimation (Q)
|
86% |
4113
4.86 IPS |
|
|
Object Detection (SP)
|
100% |
1295
102.7 IPS |
|
|
Object Detection (HP)
|
100% |
395
31.4 IPS |
|
|
Object Detection (Q)
|
58% |
1165
127.3 IPS |
|
|
Face Detection (SP)
|
100% |
1874
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
712
8.47 IPS |
|
|
Face Detection (Q)
|
96% |
2969
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2992
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1196
9.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
4534
36.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6399
8.23 IPS |
|
|
Style Transfer (HP)
|
100% |
4649
5.98 IPS |
|
|
Style Transfer (Q)
|
87% |
6605
8.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1069
39.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
867
32.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1588
58.8 IPS |
|
|
Text Classification (SP)
|
100% |
830
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
382
509.9 IPS |
|
|
Text Classification (Q)
|
97% |
246
329.7 IPS |
|
|
Machine Translation (SP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
458
7.89 IPS |
|
|
Machine Translation (Q)
|
68% |
1151
22.2 IPS |
