LENOVO 21QLCTO1WW
Geekbench AI Score
6173
Single Precision Score
9900
Half Precision Score
4829
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jakesalleskovacs |
| Upload Date | November 13 2025 11:55 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 860M Graphics |
| 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% |
2146
399.1 IPS |
|
|
Image Classification (HP)
|
100% |
3421
636.3 IPS |
|
|
Image Classification (Q)
|
100% |
1986
369.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2578
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3823
62.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2933
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
30550
35.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
62428
72.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
24770
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
1767
140.1 IPS |
|
|
Object Detection (HP)
|
100% |
2837
225.0 IPS |
|
|
Object Detection (Q)
|
87% |
1639
131.7 IPS |
|
|
Face Detection (SP)
|
100% |
5418
64.4 IPS |
|
|
Face Detection (HP)
|
100% |
9459
112.4 IPS |
|
|
Face Detection (Q)
|
97% |
4606
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13537
104.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22122
170.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
11042
88.6 IPS |
|
|
Style Transfer (SP)
|
100% |
52859
68.0 IPS |
|
|
Style Transfer (HP)
|
100% |
93624
120.4 IPS |
|
|
Style Transfer (Q)
|
98% |
39014
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10422
384.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18753
692.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6811
252.2 IPS |
|
|
Text Classification (SP)
|
100% |
2062
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
3078
4.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1541
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3232
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3456
59.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1402
26.3 IPS |
