LENOVO 21M2CTO1WW
Geekbench AI Score
2551
Single Precision Score
1144
Half Precision Score
4965
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 04:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 PRO 360 w/ Radeon 880M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21M2CTO1WW |
| Motherboard | LENOVO 21M2CTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 PRO 360 w/ Radeon 880M |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 5 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2103
391.1 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.9 IPS |
|
|
Image Classification (Q)
|
99% |
5721
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
672
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
591
9.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
2389
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3630
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2999
3.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
12180
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
2070
164.2 IPS |
|
|
Object Detection (HP)
|
100% |
518
41.1 IPS |
|
|
Object Detection (Q)
|
86% |
5405
434.4 IPS |
|
|
Face Detection (SP)
|
100% |
4384
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
1218
14.5 IPS |
|
|
Face Detection (Q)
|
97% |
8664
103.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5791
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1862
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
5511
44.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10710
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8815
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
21427
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1769
65.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1461
54.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2702
100.0 IPS |
|
|
Text Classification (SP)
|
100% |
1208
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
577
770.1 IPS |
|
|
Text Classification (Q)
|
97% |
1411
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1895
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
589
10.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2598
52.2 IPS |
