P-S ThinkBook LENOVO 21MW
Geekbench AI Score
2342
Single Precision Score
1203
Half Precision Score
4003
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | NAGJOZ |
| Upload Date | November 06 2025 04:57 PM |
| Views | 8 |
| Notes | LENOVO 21MW |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7535HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21MW |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7535HS |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1951
362.8 IPS |
|
|
Image Classification (HP)
|
100% |
484
89.9 IPS |
|
|
Image Classification (Q)
|
96% |
3756
701.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1080
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
735
11.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
4169
67.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3744
4.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
3112
3.63 IPS |
|
|
Pose Estimation (Q)
|
86% |
8392
9.92 IPS |
|
|
Object Detection (SP)
|
100% |
1720
136.5 IPS |
|
|
Object Detection (HP)
|
100% |
593
47.0 IPS |
|
|
Object Detection (Q)
|
58% |
2263
247.2 IPS |
|
|
Face Detection (SP)
|
100% |
2626
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
1109
13.2 IPS |
|
|
Face Detection (Q)
|
96% |
5813
69.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4772
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1696
13.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
7222
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8223
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7094
9.12 IPS |
|
|
Style Transfer (Q)
|
87% |
9314
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1569
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1385
51.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3171
117.5 IPS |
|
|
Text Classification (SP)
|
100% |
1745
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
870
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1466
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1302
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (Q)
|
68% |
1955
37.8 IPS |
