LENOVO 21QLCTO1WW
Geekbench AI Score
2394
Single Precision Score
1227
Half Precision Score
5576
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jakesalleskovacs |
| Upload Date | September 17 2025 10:53 AM |
| Views | 4 |
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% |
2833
526.9 IPS |
|
|
Image Classification (HP)
|
100% |
719
133.8 IPS |
|
|
Image Classification (Q)
|
99% |
5032
938.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1001
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5554
90.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3124
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2841
3.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
13339
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1651
130.9 IPS |
|
|
Object Detection (HP)
|
100% |
564
44.7 IPS |
|
|
Object Detection (Q)
|
86% |
4709
378.4 IPS |
|
|
Face Detection (SP)
|
100% |
4294
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
1185
14.1 IPS |
|
|
Face Detection (Q)
|
97% |
6513
77.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4192
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1617
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10495
83.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7906
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7839
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
21136
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1418
52.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1363
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3721
137.8 IPS |
|
|
Text Classification (SP)
|
100% |
1299
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
710
948.0 IPS |
|
|
Text Classification (Q)
|
97% |
1362
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1618
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2262
45.5 IPS |
