LENOVO 21M2CTO1WW
Geekbench AI Score
2537
Single Precision Score
1137
Half Precision Score
5322
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 04:22 AM |
| Views | 4 |
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% |
2215
412.0 IPS |
|
|
Image Classification (HP)
|
100% |
407
75.6 IPS |
|
|
Image Classification (Q)
|
99% |
5426
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
603
9.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
2449
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3702
4.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
3000
3.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
16663
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2123
168.4 IPS |
|
|
Object Detection (HP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (Q)
|
86% |
5387
433.0 IPS |
|
|
Face Detection (SP)
|
100% |
4409
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
1174
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
8643
103.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5800
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1951
15.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7508
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10605
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8389
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
21584
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1740
64.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2917
108.0 IPS |
|
|
Text Classification (SP)
|
100% |
1149
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
546
728.2 IPS |
|
|
Text Classification (Q)
|
97% |
1414
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1779
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
595
10.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2647
53.2 IPS |
