P-S ThinkBook LENOVO 21MW
Geekbench AI Score
3180
Single Precision Score
4264
Half Precision Score
2333
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | NAGJOZ |
| Upload Date | November 06 2025 05:01 PM |
| Views | 7 |
| Notes | LENOVO 21MW |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 660M |
| 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% |
1136
211.3 IPS |
|
|
Image Classification (HP)
|
100% |
1543
286.9 IPS |
|
|
Image Classification (Q)
|
100% |
1010
187.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1569
25.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1274
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14313
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26134
30.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
10712
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1254
99.5 IPS |
|
|
Object Detection (HP)
|
100% |
1485
117.8 IPS |
|
|
Object Detection (Q)
|
87% |
1112
89.3 IPS |
|
|
Face Detection (SP)
|
100% |
2478
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
4215
50.1 IPS |
|
|
Face Detection (Q)
|
97% |
2067
24.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6905
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9627
74.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
5121
41.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23903
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35878
46.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17450
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5260
194.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7979
294.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3215
119.0 IPS |
|
|
Text Classification (SP)
|
100% |
1070
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1230
1.64 KIPS |
|
|
Text Classification (Q)
|
97% |
725
971.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1401
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1483
25.5 IPS |
|
|
Machine Translation (Q)
|
70% |
725
13.6 IPS |
