LENOVO 21QL0012US-P14S LENOVO 21QL0012US
Geekbench AI Score
2986
Single Precision Score
1621
Half Precision Score
7370
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | chrishoesel |
| Upload Date | December 02 2025 01:41 PM |
| 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 Enterprise (64-bit) |
| Model | LENOVO 21QL0012US |
| Motherboard | LENOVO 21QL0012US |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2412
448.5 IPS |
|
|
Image Classification (HP)
|
100% |
682
126.9 IPS |
|
|
Image Classification (Q)
|
99% |
6674
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1000
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
965
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7926
128.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4144
4.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
3558
4.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
17236
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2186
173.4 IPS |
|
|
Object Detection (HP)
|
100% |
818
64.9 IPS |
|
|
Object Detection (Q)
|
86% |
6447
518.2 IPS |
|
|
Face Detection (SP)
|
100% |
5285
62.8 IPS |
|
|
Face Detection (HP)
|
100% |
1757
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
9407
112.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5790
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2332
18.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
14777
117.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10366
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9406
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25005
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1967
72.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1852
68.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4061
150.4 IPS |
|
|
Text Classification (SP)
|
100% |
1842
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1016
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1879
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2250
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3033
60.9 IPS |
