LENOVO 21QLCTO1WW
Geekbench AI Score
2369
Single Precision Score
1197
Half Precision Score
5754
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jakesalleskovacs |
| Upload Date | November 13 2025 11:52 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 PRO 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QLCTO1WW |
| Motherboard | LENOVO 21QLCTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 PRO 350 w/ Radeon 860M |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2545
473.2 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.8 IPS |
|
|
Image Classification (Q)
|
99% |
4685
873.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
891
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5416
88.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3137
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2881
3.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
13376
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1634
129.6 IPS |
|
|
Object Detection (HP)
|
100% |
551
43.7 IPS |
|
|
Object Detection (Q)
|
86% |
4841
389.1 IPS |
|
|
Face Detection (SP)
|
100% |
4052
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
1243
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
7787
92.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4311
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1679
12.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
11089
88.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8046
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7699
9.90 IPS |
|
|
Style Transfer (Q)
|
98% |
21645
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1479
54.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1369
50.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3761
139.3 IPS |
|
|
Text Classification (SP)
|
100% |
1413
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
808
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1449
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1635
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2381
47.8 IPS |
