LENOVO 21MW
Geekbench AI Score
3846
Single Precision Score
3834
Half Precision Score
6396
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | July 06 2025 04:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7535HS with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | LENOVO 21MW |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7535HS |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 26.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2416
449.3 IPS |
|
|
Image Classification (HP)
|
100% |
2432
452.4 IPS |
|
|
Image Classification (Q)
|
100% |
4141
770.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2865
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2890
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4506
73.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3924
4.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3996
4.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
8953
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
2322
184.2 IPS |
|
|
Object Detection (HP)
|
100% |
2277
180.6 IPS |
|
|
Object Detection (Q)
|
87% |
4294
344.4 IPS |
|
|
Face Detection (SP)
|
100% |
5268
62.6 IPS |
|
|
Face Detection (HP)
|
100% |
5062
60.1 IPS |
|
|
Face Detection (Q)
|
97% |
11903
141.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6240
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6097
47.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
11029
87.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13095
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13221
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
28168
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2820
104.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2802
103.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5886
218.0 IPS |
|
|
Text Classification (SP)
|
100% |
2356
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (Q)
|
91% |
1825
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3934
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3994
68.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4023
69.3 IPS |
